feat: setup analytics-mailer with gitea cron pipeline for e-tib and klz

- Remove non-existent ChatWindow.scss import causing Webpack resolution errors
- Disable dynamic ChatWindowProvider injection (now statically declared in host app)
- Revert build script to tsc (no SCSS copy needed)

.changeset/next-config-server-actions.md

@@ -0,0 +1,5 @@
+---
+"@mintel/next-config": patch
+---
+
+fix: add serverActions.allowedOrigins to support branch deployments

.env

@@ -3,6 +3,7 @@ IMAGE_TAG=v1.8.19
 PROJECT_NAME=at-mintel
 PROJECT_COLOR=#82ed20
 GITEA_TOKEN=ccce002e30fe16a31a6c9d5a414740af2f72a582
+GITEA_HOST=https://git.infra.mintel.me
 OPENROUTER_API_KEY=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
 ZYTE_API_KEY=1f0f74726f044f55aaafc7ead32cd489
 REPLICATE_API_KEY=r8_W3grtpXMRfi0u3AM9VdkKbuWdZMmhwU2Tn0yt
@@ -11,6 +12,11 @@ DATA_FOR_SEO_API_KEY=bWFyY0BtaW50ZWwubWU6MjQ0YjBjZmIzOGY3NTIzZA==
 DATA_FOR_SEO_LOGIN=marc@mintel.me
 DATA_FOR_SEO_PASSWORD=244b0cfb38f7523d
 
+# Kabelfachmann LLM Configuration
+KABELFACHMANN_LLM_PROVIDER=openrouter
+KABELFACHMANN_OLLAMA_MODEL=qwen3.5
+KABELFACHMANN_OLLAMA_HOST=http://host.docker.internal:11434
+
 # Authentication
 GATEKEEPER_PASSWORD=mintel
 AUTH_COOKIE_NAME=mintel_gatekeeper_session
@@ -41,3 +47,20 @@ SENTRY_DSN=
 # Analytics (Umami)
 NEXT_PUBLIC_UMAMI_WEBSITE_ID=
 NEXT_PUBLIC_UMAMI_SCRIPT_URL=https://analytics.infra.mintel.me/script.js
+UMAMI_USERNAME=mmintel
+UMAMI_PASSWORD=Tim300493.
+
+# MCP Services
+QDRANT_URL=http://qdrant:6333
+SERPBEAR_API_KEY=Tim300493.
+GLITCHTIP_API_KEY=3d37db66fa1fc3a1cdcd1357728b056225aca950f0163b50c5e922344807ede9
+
+# Corrected MCP Base URLs
+UMAMI_BASE_URL=https://analytics.infra.mintel.me
+GLITCHTIP_BASE_URL=https://errors.infra.mintel.me
+SERPBEAR_BASE_URL=https://seo.infra.mintel.me
+
+# Vikunja MCP
+VIKUNJA_API_TOKEN=tk_468a6f7a59b329aa42796378e55075b79eb4d3d4
+VIKUNJA_BASE_URL=https://tasks.infra.mintel.me
+

.env.example

@@ -1,5 +1,5 @@
 # Project
-IMAGE_TAG=v1.9.16
+IMAGE_TAG=v1.9.17
 PROJECT_NAME=sample-website
 PROJECT_COLOR=#82ed20
 

.gitea/workflows/analytics-mailer.yml

@@ -0,0 +1,44 @@
+name: Monthly Analytics Mailer
+
+on:
+  schedule:
+    - cron: '0 8 1 * *' # Run at 08:00 on the 1st of every month
+  workflow_dispatch: # Allow manual trigger
+
+jobs:
+  send-reports:
+    name: 📊 Send Monthly Reports
+    runs-on: docker
+    container:
+      image: catthehacker/ubuntu:act-latest
+    env:
+      NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
+      UMAMI_BASE_URL: ${{ secrets.UMAMI_BASE_URL }}
+      UMAMI_USERNAME: ${{ secrets.UMAMI_USERNAME }}
+      UMAMI_PASSWORD: ${{ secrets.UMAMI_PASSWORD }}
+      MAILGUN_API_KEY: ${{ secrets.MAILGUN_API_KEY }}
+      MAILGUN_DOMAIN: ${{ secrets.MAILGUN_DOMAIN }}
+      MAILGUN_SENDER: ${{ secrets.MAILGUN_SENDER }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node_version: 20
+          
+      - name: Enable pnpm
+        run: corepack enable && corepack prepare pnpm@10.2.0 --activate
+        
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile --prefer-offline --ignore-scripts --no-color
+        
+      - name: Build mail templates
+        run: pnpm --filter @mintel/mail build
+        
+      - name: Build analytics mailer
+        run: pnpm --filter @mintel/analytics-mailer build
+        
+      - name: Run Analytics Mailer
+        run: pnpm --filter @mintel/analytics-mailer run start

.gitea/workflows/quality-assurance-template.yml

@@ -34,29 +34,34 @@ jobs:
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
-      - name: Setup pnpm
-        uses: pnpm/action-setup@v3
-        with:
-          version: 10
       - name: Setup Node.js
         uses: actions/setup-node@v4
         with:
           node-version: 20
+      - name: Setup pnpm
+        uses: pnpm/action-setup@v3
+        with:
+          version: 10
       - name: 🔐 Registry Auth
         run: |
-          echo "@mintel:registry=https://git.infra.mintel.me/api/packages/mmintel/npm" > .npmrc
-          echo "//git.infra.mintel.me/api/packages/mmintel/npm/:_authToken=${{ secrets.NPM_TOKEN || secrets.MINTEL_PRIVATE_TOKEN || secrets.GITEA_PAT }}" >> .npmrc
+          REGISTRY="${{ vars.REGISTRY_HOST || 'npm.infra.mintel.me' }}"
+          echo "@mintel:registry=https://$REGISTRY" > .npmrc
+          echo "//$REGISTRY/:_authToken=${{ secrets.NPM_TOKEN || secrets.GITEA_PAT || secrets.MINTEL_PRIVATE_TOKEN }}" >> .npmrc
+      - name: 🔍 Diagnostics
+        run: |
+          echo "👤 User: $(id)"
+          echo "📂 Directory: $(pwd)"
+          echo "📂 Disk Space:"
+          df -h
       - name: Install dependencies
         run: |
-          pnpm store prune
-          pnpm install --no-frozen-lockfile
+          rm -rf .next .turbo node_modules || true
+          pnpm install --no-frozen-lockfile --reporter=append-only
       - name: 📦 Archive dependencies
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v3
         with:
           name: node_modules
-          path: |
-            node_modules
-            .npmrc
+          path: node_modules
           retention-days: 1
 
   static:
@@ -77,7 +82,7 @@ jobs:
         with:
           node-version: 20
       - name: 📥 Restore dependencies
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v3
         with:
           name: node_modules
       - name: 🌐 HTML Validation
@@ -109,7 +114,7 @@ jobs:
         with:
           node-version: 20
       - name: 📥 Restore dependencies
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v3
         with:
           name: node_modules
       - name: 🔍 Install Chromium
@@ -147,7 +152,7 @@ jobs:
         with:
           node-version: 20
       - name: 📥 Restore dependencies
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v3
         with:
           name: node_modules
       - name: 📦 Depcheck
@@ -177,7 +182,7 @@ jobs:
         with:
           version: 10
       - name: 📥 Restore dependencies
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v3
         with:
           name: node_modules
       - name: 🔍 Install Chromium

.gitignore

@@ -50,4 +50,8 @@ apps/web/out/estimations/
 
 # Memory MCP
 data/qdrant/
-packages/memory-mcp/models/
+packages/memory-mcp/models/
+
+# Kabelfachmann MCP
+packages/kabelfachmann-mcp/data/
+packages/kabelfachmann-mcp/models/

apps/analytics-mailer/config.json

@@ -0,0 +1,14 @@
+[
+  {
+    "websiteId": "d773ea10-a3b3-4ccf-9024-987e14c4d669",
+    "domain": "e-tib.com",
+    "clientEmail": "marc@mintel.me",
+    "clientName": "E-TIB GmbH"
+  },
+  {
+    "websiteId": "59a7db94-0100-4c7e-98ef-99f45b17f9c3",
+    "domain": "klz-cables.com",
+    "clientEmail": "marc@mintel.me",
+    "clientName": "KLZ"
+  }
+]

apps/analytics-mailer/package.json

@@ -0,0 +1,26 @@
+{
+  "name": "@mintel/analytics-mailer",
+  "version": "1.0.0",
+  "private": true,
+  "type": "module",
+  "scripts": {
+    "build": "tsup src/index.ts --format esm --clean",
+    "start": "node dist/index.js",
+    "dev": "tsx src/index.ts"
+  },
+  "dependencies": {
+    "@mintel/mail": "workspace:*",
+    "axios": "^1.7.9",
+    "dotenv": "^16.4.7",
+    "form-data": "^4.0.1",
+    "mailgun.js": "^10.3.0"
+  },
+  "devDependencies": {
+    "@mintel/eslint-config": "workspace:*",
+    "@mintel/tsconfig": "workspace:*",
+    "@types/node": "^22.10.2",
+    "tsup": "^8.3.5",
+    "tsx": "^4.19.2",
+    "typescript": "^5.7.2"
+  }
+}

apps/analytics-mailer/src/index.ts

@@ -0,0 +1,143 @@
+import fs from "fs/promises";
+import path from "path";
+import axios from "axios";
+import { render } from "@mintel/mail";
+import { MonthlyAnalyticsTemplate } from "@mintel/mail";
+import Mailgun from "mailgun.js";
+import formData from "form-data";
+import * as dotenv from "dotenv";
+
+dotenv.config();
+
+const UMAMI_BASE_URL = process.env.UMAMI_BASE_URL || "https://umami.infra.mintel.me";
+const UMAMI_USERNAME = process.env.UMAMI_USERNAME;
+const UMAMI_PASSWORD = process.env.UMAMI_PASSWORD;
+const UMAMI_API_KEY = process.env.UMAMI_API_KEY;
+
+const MAILGUN_API_KEY = process.env.MAILGUN_API_KEY;
+const MAILGUN_DOMAIN = process.env.MAILGUN_DOMAIN;
+const MAILGUN_SENDER = process.env.MAILGUN_SENDER || "reports@mintel.me";
+const MAILGUN_URL = process.env.MAILGUN_URL || "https://api.eu.mailgun.net";
+
+interface ConfigClient {
+  websiteId: string;
+  domain: string;
+  clientEmail: string;
+  clientName: string;
+}
+
+async function getUmamiToken(): Promise<string> {
+  if (UMAMI_API_KEY) {
+    return UMAMI_API_KEY;
+  }
+  if (!UMAMI_USERNAME || !UMAMI_PASSWORD) {
+    throw new Error("Missing UMAMI_USERNAME and UMAMI_PASSWORD or UMAMI_API_KEY");
+  }
+  const res = await axios.post(`${UMAMI_BASE_URL}/api/auth/login`, {
+    username: UMAMI_USERNAME,
+    password: UMAMI_PASSWORD,
+  });
+  return res.data.token;
+}
+
+async function fetchUmamiData(api: any, websiteId: string, startAt: number, endAt: number) {
+  const [statsRes, pagesRes, refRes] = await Promise.all([
+    api.get(`/websites/${websiteId}/stats`, { params: { startAt, endAt } }),
+    api.get(`/websites/${websiteId}/metrics`, { params: { type: "url", limit: 5, startAt, endAt } }),
+    api.get(`/websites/${websiteId}/metrics`, { params: { type: "referrer", limit: 3, startAt, endAt } }),
+  ]);
+
+  const stats = statsRes.data;
+  const topPages = (pagesRes.data || []).map((p: any) => ({ url: p.x, views: p.y }));
+  const topReferrers = (refRes.data || []).map((r: any) => ({ url: r.x, visitors: r.y }));
+
+  return {
+    totalVisitors: stats.visitors?.value || 0,
+    totalPageviews: stats.pageviews?.value || 0,
+    topPages,
+    topReferrers,
+  };
+}
+
+async function main() {
+  const isDryRun = process.argv.includes("--dry-run");
+
+  // Load config
+  const configPath = path.resolve(process.cwd(), "config.json");
+  const configRaw = await fs.readFile(configPath, "utf-8");
+  const clients: ConfigClient[] = JSON.parse(configRaw);
+
+  // Setup Umami API
+  const token = await getUmamiToken();
+  const headers = UMAMI_API_KEY ? { "x-umami-api-key": token } : { Authorization: `Bearer ${token}` };
+  const api = axios.create({ baseURL: `${UMAMI_BASE_URL}/api`, headers });
+
+  // Setup Mailgun
+  const mailgun = new Mailgun(formData);
+  const mg = mailgun.client({ username: "api", key: MAILGUN_API_KEY!, url: MAILGUN_URL });
+
+  // Time range calculation (previous month)
+  const now = new Date();
+  // Ensure we get the correct previous month relative to current local time, but use UTC boundary or local? Umami uses ms timestamps.
+  // Standard way: First day of previous month, last day of previous month.
+  const startOfPrevMonth = new Date(now.getFullYear(), now.getMonth() - 1, 1);
+  const endOfPrevMonth = new Date(now.getFullYear(), now.getMonth(), 0, 23, 59, 59, 999);
+  
+  const startAt = startOfPrevMonth.getTime();
+  const endAt = endOfPrevMonth.getTime();
+
+  const monthName = startOfPrevMonth.toLocaleString("de-DE", { month: "long" });
+  const year = startOfPrevMonth.getFullYear().toString();
+
+  console.log(`Generating reports for ${monthName} ${year}...`);
+
+  for (const client of clients) {
+    if (client.websiteId === "replace-with-umami-website-id") continue;
+
+    console.log(`Processing ${client.domain} (${client.clientName})...`);
+
+    try {
+      const data = await fetchUmamiData(api, client.websiteId, startAt, endAt);
+      
+      const html = await render(MonthlyAnalyticsTemplate({
+        clientName: client.clientName,
+        domain: client.domain,
+        month: monthName,
+        year,
+        totalVisitors: data.totalVisitors,
+        totalPageviews: data.totalPageviews,
+        topPages: data.topPages,
+        topReferrers: data.topReferrers,
+      }));
+
+      const subject = `Ihr Website-Report für ${monthName} ${year} - ${client.domain}`;
+
+      if (isDryRun) {
+        console.log(`[DRY-RUN] Would send email to ${client.clientEmail} for ${client.domain}`);
+        const debugPath = path.resolve(process.cwd(), `dry-run-${client.domain}.html`);
+        await fs.writeFile(debugPath, html);
+        console.log(`[DRY-RUN] Saved HTML preview to ${debugPath}`);
+      } else {
+        if (!MAILGUN_API_KEY) {
+            throw new Error("MAILGUN_API_KEY is missing for live run.");
+        }
+        await mg.messages.create(MAILGUN_DOMAIN!, {
+          from: MAILGUN_SENDER,
+          to: [client.clientEmail],
+          subject,
+          html,
+        });
+        console.log(`Successfully sent to ${client.clientEmail}`);
+      }
+    } catch (e: any) {
+      console.error(`Failed to process client ${client.domain}:`, e.response?.data || e.message);
+    }
+  }
+
+  console.log("Done.");
+}
+
+main().catch((err) => {
+  console.error("Fatal error:", err);
+  process.exit(1);
+});

apps/analytics-mailer/tsconfig.json

@@ -0,0 +1,10 @@
+{
+  "extends": "@mintel/tsconfig/base.json",
+  "compilerOptions": {
+    "outDir": "dist",
+    "rootDir": "src",
+    "module": "NodeNext",
+    "moduleResolution": "NodeNext"
+  },
+  "include": ["src/**/*"]
+}

apps/sample-website/package.json

@@ -1,6 +1,6 @@
 {
   "name": "sample-website",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "private": true,
   "type": "module",
   "scripts": {

blender-mv.sh

@@ -0,0 +1,177 @@
+#!/usr/bin/env bash
+# blender-mv: A smart file/directory mover that automatically updates Blender paths
+
+set -e
+
+print_usage() {
+    echo "Usage: blender-mv [OPTIONS] SOURCE DEST"
+    echo ""
+    echo "Options:"
+    echo "  --search-project <dir>    Scan this specific project directory for .blend files"
+    echo "                            to update (useful if you move an external asset folder,"
+    echo "                            and old .blend files referencing it are elsewhere)."
+    echo ""
+    echo "Example: blender-mv ./old_folder ./new_folder"
+}
+
+SEARCH_PROJECT=""
+
+# Parse arguments
+while [[ "$#" -gt 0 ]]; do
+    case $1 in
+        --search-project) SEARCH_PROJECT="$2"; shift 2 ;;
+        -h|--help) print_usage; exit 0 ;;
+        *)
+            if [[ -z "$SOURCE" ]]; then
+                SOURCE="$1"
+            elif [[ -z "$DEST" ]]; then
+                DEST="$1"
+            else
+                echo "Unknown parameter passed: $1"
+                print_usage
+                exit 1
+            fi
+            shift
+            ;;
+    esac
+done
+
+if [[ -z "$SOURCE" || -z "$DEST" ]]; then
+    echo "Error: Both SOURCE and DEST must be provided."
+    print_usage
+    exit 1
+fi
+
+if [[ ! -e "$SOURCE" ]]; then
+    echo "Error: Source path '$SOURCE' does not exist."
+    exit 1
+fi
+
+# Function to get absolute normalized path (handles missing destination gracefully)
+get_abs_path() {
+    python3 -c 'import os,sys; print(os.path.normpath(os.path.abspath(sys.argv[1])))' "$1" 2>/dev/null
+}
+
+# Resolve source before moving
+ABS_SOURCE=$(get_abs_path "$SOURCE")
+
+# Determine resulting target path
+if [[ -d "$DEST" ]]; then
+    # If DEST is an existing dir, standard mv puts SOURCE inside it
+    BASENAME_SOURCE=$(basename "$SOURCE")
+    ABS_DEST=$(get_abs_path "$DEST/$BASENAME_SOURCE")
+else
+    # Placed exactly at DEST (rename or target dir doesn't exist yet)
+    ABS_DEST=$(get_abs_path "$DEST")
+fi
+
+echo "Moving: $SOURCE -> $DEST"
+mv "$SOURCE" "$DEST"
+
+echo "Replacing paths in Blender's recent-files lists..."
+# Find all recent-files.txt across Blender versions and replace the string
+find "$HOME/Library/Application Support/Blender" -type f -name "recent-files.txt" 2>/dev/null | while read -r RECENT_FILE; do
+    # Using sed with alternative delimiter to avoid path interference
+    sed -i '' "s|${ABS_SOURCE}|${ABS_DEST}|g" "$RECENT_FILE"
+done
+
+# Prepare the embedded Python payload to update blend paths
+TMP_PY=$(mktemp /tmp/blender_update_paths.XXXXXX.py)
+cat << 'EOF' > "$TMP_PY"
+import bpy
+import sys
+
+def replace_in_prop(prop, old_path, new_path):
+    if prop and isinstance(prop, str) and old_path in prop:
+        return prop.replace(old_path, new_path)
+    return prop
+
+def run():
+    # Args are passed after `--`
+    if '--' not in sys.argv:
+        return
+    idx = sys.argv.index('--')
+    if len(sys.argv) <= idx + 2:
+        return
+        
+    old_path = sys.argv[idx + 1]
+    new_path = sys.argv[idx + 2]
+    
+    changed = False
+    
+    # 1. Libraries (Linked objects/collections)
+    for lib in bpy.data.libraries:
+        new_fp = replace_in_prop(lib.filepath, old_path, new_path)
+        if new_fp != lib.filepath:
+            lib.filepath = new_fp
+            changed = True
+            
+    # 2. Images (Textures, Env Maps)
+    for img in bpy.data.images:
+        new_fp = replace_in_prop(img.filepath, old_path, new_path)
+        if new_fp != img.filepath:
+            img.filepath = new_fp
+            changed = True
+            
+    # 3. Cache files (Alembic/VDB)
+    for cache in bpy.data.cache_files:
+        new_fp = replace_in_prop(cache.filepath, old_path, new_path)
+        if new_fp != cache.filepath:
+            cache.filepath = new_fp
+            changed = True
+            
+    # 4. Fonts
+    for font in bpy.data.fonts:
+        new_fp = replace_in_prop(font.filepath, old_path, new_path)
+        if new_fp != font.filepath:
+            font.filepath = new_fp
+            changed = True
+            
+    # 5. Video strips
+    for scene in bpy.data.scenes:
+        if scene.sequence_editor:
+            for strip in scene.sequence_editor.sequences_all:
+                if strip.type in ('MOVIE', 'IMAGE'):
+                    new_fp = replace_in_prop(strip.filepath, old_path, new_path)
+                    if new_fp != strip.filepath:
+                        strip.filepath = new_fp
+                        changed = True
+
+    if changed:
+        print(f"[*] Updated paths in {bpy.data.filepath}")
+        bpy.ops.wm.save_mainfile()
+        
+try:
+    run()
+except Exception as e:
+    print(f"[!] Error updating blend file paths: {e}")
+EOF
+
+# Determine what to search for blend files
+if [[ -n "$SEARCH_PROJECT" ]]; then
+    SEARCH_ROOT=$(get_abs_path "$SEARCH_PROJECT")
+    echo "Scanning project root '$SEARCH_ROOT' for .blend files..."
+elif [[ -d "$ABS_DEST" ]]; then
+    SEARCH_ROOT="$ABS_DEST"
+    echo "Scanning moved directory for .blend files..."
+elif [[ "$ABS_DEST" == *.blend ]]; then
+    SEARCH_ROOT="$ABS_DEST"
+    echo "Updating moved .blend file..."
+else
+    echo "No project root defined and moved object is not a directory or .blend file."
+    echo "Finished."
+    rm -f "$TMP_PY"
+    exit 0
+fi
+
+# Execute headless blender on all found blend files
+if [[ -d "$SEARCH_ROOT" ]]; then
+    find "$SEARCH_ROOT" -type f -name "*.blend" -print0 | while IFS= read -r -d '' BLEND_FILE; do
+        blender -b "$BLEND_FILE" -P "$TMP_PY" -- "$ABS_SOURCE" "$ABS_DEST" >/dev/null 2>&1 || echo "Warning: Failed to process $BLEND_FILE"
+    done
+elif [[ -f "$SEARCH_ROOT" && "$SEARCH_ROOT" == *.blend ]]; then
+    blender -b "$SEARCH_ROOT" -P "$TMP_PY" -- "$ABS_SOURCE" "$ABS_DEST" >/dev/null 2>&1 || echo "Warning: Failed to process $SEARCH_ROOT"
+fi
+
+rm -f "$TMP_PY"
+echo "Success: Move complete and paths updated."

docker-compose.mcps.yml

@@ -3,14 +3,112 @@ services:
     image: qdrant/qdrant:latest
     container_name: qdrant-mcp
     ports:
-      - "6333:6333"
-      - "6334:6334"
+      - "6335:6333"
+      - "6336:6334"
     volumes:
       - ./data/qdrant:/qdrant/storage
     restart: unless-stopped
     networks:
       - mcp-network
 
+  gitea-mcp:
+    build:
+      context: ./packages/gitea-mcp
+    container_name: gitea-mcp
+    env_file:
+      - .env
+    ports:
+      - "3011:3001"
+    restart: unless-stopped
+    networks:
+      - mcp-network
+
+  memory-mcp:
+    build:
+      context: ./packages/memory-mcp
+    container_name: memory-mcp
+    env_file:
+      - .env
+    ports:
+      - "3002:3002"
+    depends_on:
+      - qdrant
+    restart: unless-stopped
+    networks:
+      - mcp-network
+
+  umami-mcp:
+    build:
+      context: ./packages/umami-mcp
+    container_name: umami-mcp
+    env_file:
+      - .env
+    ports:
+      - "3003:3003"
+    restart: unless-stopped
+    networks:
+      - mcp-network
+
+  serpbear-mcp:
+    build:
+      context: ./packages/serpbear-mcp
+    container_name: serpbear-mcp
+    env_file:
+      - .env
+    ports:
+      - "3004:3004"
+    restart: unless-stopped
+    networks:
+      - mcp-network
+
+  glitchtip-mcp:
+    build:
+      context: ./packages/glitchtip-mcp
+    container_name: glitchtip-mcp
+    env_file:
+      - .env
+    ports:
+      - "3005:3005"
+    restart: unless-stopped
+    networks:
+      - mcp-network
+
+  klz-payload-mcp:
+    build:
+      context: ./packages/klz-payload-mcp
+    container_name: klz-payload-mcp
+    env_file:
+      - .env
+    ports:
+      - "3006:3006"
+    restart: unless-stopped
+    networks:
+      - mcp-network
+
+  vikunja-mcp:
+    build:
+      context: ./packages/vikunja-mcp
+    container_name: vikunja-mcp
+    env_file:
+      - .env
+    ports:
+      - "3007:3007"
+    restart: unless-stopped
+    networks:
+      - mcp-network
+
+  outline-mcp:
+    build:
+      context: ./packages/outline-mcp
+    container_name: outline-mcp
+    env_file:
+      - .env
+    ports:
+      - "3008:3008"
+    restart: unless-stopped
+    networks:
+      - mcp-network
+
 networks:
   mcp-network:
     driver: bridge

ecosystem.mcps.config.cjs

@@ -1,48 +0,0 @@
-module.exports = {
-    apps: [
-        {
-            name: 'gitea-mcp',
-            script: 'node',
-            args: 'dist/start.js',
-            cwd: './packages/gitea-mcp',
-            watch: false,
-        },
-        {
-            name: 'memory-mcp',
-            script: 'node',
-            args: 'dist/start.js',
-            cwd: './packages/memory-mcp',
-            watch: false,
-        },
-        {
-            name: 'umami-mcp',
-            script: 'node',
-            args: 'dist/start.js',
-            cwd: './packages/umami-mcp',
-            watch: false,
-        },
-        {
-            name: 'serpbear-mcp',
-            script: 'node',
-            args: 'dist/start.js',
-            cwd: './packages/serpbear-mcp',
-            watch: false,
-        },
-        {
-            name: 'glitchtip-mcp',
-            script: 'node',
-            args: 'dist/start.js',
-            cwd: './packages/glitchtip-mcp',
-            watch: false,
-        },
-        {
-            name: 'klz-payload-mcp',
-            script: 'node',
-            args: 'dist/start.js',
-            cwd: './packages/klz-payload-mcp',
-            watch: false,
-        },
-    ]
-};
-
-

eslint-errors-2.txt

@@ -0,0 +1,69 @@
+
+/Users/marcmintel/Projects/at-mintel/packages/gitea-mcp/src/index.ts
+  11:0  error  Parsing error: Identifier expected
+
+/Users/marcmintel/Projects/at-mintel/packages/glitchtip-mcp/src/index.ts
+  124:19  warning  'res' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/klz-payload-mcp/src/index.ts
+  39:18  warning  'e' is defined but never used. Allowed unused caught errors must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/memory-mcp/src/qdrant.test.ts
+  7:52  warning  'text' is defined but never used. Allowed unused args must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/page-audit/src/report.ts
+  7:47  warning  'PageAuditData' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+  7:62  warning  'AuditIssue' is defined but never used. Allowed unused vars must match /^_/u     @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/components/FieldGenerators/AiFieldButton.tsx
+  11:13  warning  'value' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/components/FieldGenerators/GenerateSlugButton.tsx
+  20:21  warning  'replaceState' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+  21:13  warning  'value' is assigned a value but never used. Allowed unused vars must match /^_/u         @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/components/FieldGenerators/GenerateThumbnailButton.tsx
+  21:13  warning  'value' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/components/OptimizeButton.tsx
+  5:10  warning  'Button' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/tools/mcpAdapter.ts
+  44:15  warning  'toolSchema' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/tools/memoryDb.ts
+  89:31  warning  'query' is defined but never used. Allowed unused args must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/tools/payloadLocal.ts
+  3:40  warning  'User' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/types.ts
+  1:15  warning  'Plugin' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/ConceptPDF.tsx
+  4:18  warning  'PDFPage' is defined but never used. Allowed unused vars must match /^_/u    @typescript-eslint/no-unused-vars
+  5:10  warning  'pdfStyles' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/EstimationPDF.tsx
+   4:18  warning  'PDFPage' is defined but never used. Allowed unused vars must match /^_/u              @typescript-eslint/no-unused-vars
+   5:10  warning  'pdfStyles' is defined but never used. Allowed unused vars must match /^_/u            @typescript-eslint/no-unused-vars
+  54:11  warning  'getPageNum' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/InfoPDF.tsx
+   5:13  warning  'PDFPage' is defined but never used. Allowed unused vars must match /^_/u    @typescript-eslint/no-unused-vars
+  12:5   warning  'pdfStyles' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/pdf/SharedUI.tsx
+  528:5  warning  'bankData' is defined but never used. Allowed unused args must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/pdf/SimpleLayout.tsx
+  4:52  warning  'PDFText' is defined but never used. Allowed unused vars must match /^_/u    @typescript-eslint/no-unused-vars
+  5:26  warning  'pdfStyles' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/seo-engine/src/report.ts
+  5:3  warning  'TopicCluster' is defined but never used. Allowed unused vars must match /^_/u       @typescript-eslint/no-unused-vars
+  6:3  warning  'ContentGap' is defined but never used. Allowed unused vars must match /^_/u         @typescript-eslint/no-unused-vars
+  7:3  warning  'CompetitorRanking' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+✖ 28 problems (1 error, 27 warnings)
+

eslint-errors.txt

@@ -0,0 +1,97 @@
+
+/Users/marcmintel/Projects/at-mintel/packages/gitea-mcp/src/index.ts
+   12:5   warning  'Resource' is defined but never used. Allowed unused vars must match /^_/u    @typescript-eslint/no-unused-vars
+   14:10  warning  'z' is defined but never used. Allowed unused vars must match /^_/u           @typescript-eslint/no-unused-vars
+  427:30  warning  'e' is defined but never used. Allowed unused caught errors must match /^_/u  @typescript-eslint/no-unused-vars
+  745:50  error    Unnecessary escape character: \/                                              no-useless-escape
+  745:60  error    Unnecessary escape character: \/                                              no-useless-escape
+  799:54  error    Unnecessary escape character: \/                                              no-useless-escape
+  799:64  error    Unnecessary escape character: \/                                              no-useless-escape
+
+/Users/marcmintel/Projects/at-mintel/packages/glitchtip-mcp/src/index.ts
+  124:19  warning  'res' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/klz-payload-mcp/src/index.ts
+  39:18  warning  'e' is defined but never used. Allowed unused caught errors must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/memory-mcp/src/qdrant.test.ts
+  7:52  warning  'text' is defined but never used. Allowed unused args must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/page-audit/src/report.ts
+  7:47  warning  'PageAuditData' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+  7:62  warning  'AuditIssue' is defined but never used. Allowed unused vars must match /^_/u     @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/chatPlugin.ts
+   1:15  warning  'Config' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+  10:17  error    'config' is never reassigned. Use 'const' instead                         prefer-const
+  48:37  warning  'req' is defined but never used. Allowed unused args must match /^_/u     @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/components/ChatWindow/index.tsx
+  43:5   error    Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+  44:63  warning  'setMessages' is assigned a value but never used. Allowed unused vars must match /^_/u                               @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/components/FieldGenerators/AiFieldButton.tsx
+  11:13  warning  'value' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/components/FieldGenerators/GenerateSlugButton.tsx
+  20:21  warning  'replaceState' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+  21:13  warning  'value' is assigned a value but never used. Allowed unused vars must match /^_/u         @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/components/FieldGenerators/GenerateThumbnailButton.tsx
+  21:13  warning  'value' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/components/OptimizeButton.tsx
+  5:10  warning  'Button' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/endpoints/chatEndpoint.ts
+   96:13  error  Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+  100:13  error  Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/tools/mcpAdapter.ts
+  44:15  warning  'toolSchema' is assigned a value but never used. Allowed unused vars must match /^_/u                                @typescript-eslint/no-unused-vars
+  53:13  error    Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/tools/memoryDb.ts
+  50:13  error    Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+  88:13  error    Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+  89:31  warning  'query' is defined but never used. Allowed unused args must match /^_/u                                              @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/tools/payloadLocal.ts
+   3:40  warning  'User' is defined but never used. Allowed unused vars must match /^_/u                                               @typescript-eslint/no-unused-vars
+  25:13  error    Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+  45:13  error    Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+  61:13  error    Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+  78:13  error    Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+  95:13  error    Use "@ts-expect-error" instead of "@ts-ignore", as "@ts-ignore" will do nothing if the following line is error-free  @typescript-eslint/ban-ts-comment
+
+/Users/marcmintel/Projects/at-mintel/packages/payload-ai/src/types.ts
+  1:15  warning  'Plugin' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/ConceptPDF.tsx
+  4:18  warning  'PDFPage' is defined but never used. Allowed unused vars must match /^_/u    @typescript-eslint/no-unused-vars
+  5:10  warning  'pdfStyles' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/EstimationPDF.tsx
+   4:18  warning  'PDFPage' is defined but never used. Allowed unused vars must match /^_/u              @typescript-eslint/no-unused-vars
+   5:10  warning  'pdfStyles' is defined but never used. Allowed unused vars must match /^_/u            @typescript-eslint/no-unused-vars
+  54:11  warning  'getPageNum' is assigned a value but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/InfoPDF.tsx
+   5:13  warning  'PDFPage' is defined but never used. Allowed unused vars must match /^_/u    @typescript-eslint/no-unused-vars
+  12:5   warning  'pdfStyles' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/pdf/SharedUI.tsx
+  528:5  warning  'bankData' is defined but never used. Allowed unused args must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/pdf-library/src/components/pdf/SimpleLayout.tsx
+  4:52  warning  'PDFText' is defined but never used. Allowed unused vars must match /^_/u    @typescript-eslint/no-unused-vars
+  5:26  warning  'pdfStyles' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+/Users/marcmintel/Projects/at-mintel/packages/seo-engine/src/report.ts
+  5:3  warning  'TopicCluster' is defined but never used. Allowed unused vars must match /^_/u       @typescript-eslint/no-unused-vars
+  6:3  warning  'ContentGap' is defined but never used. Allowed unused vars must match /^_/u         @typescript-eslint/no-unused-vars
+  7:3  warning  'CompetitorRanking' is defined but never used. Allowed unused vars must match /^_/u  @typescript-eslint/no-unused-vars
+
+✖ 49 problems (16 errors, 33 warnings)
+  1 error and 0 warnings potentially fixable with the `--fix` option.
+

package.json

@@ -6,12 +6,12 @@
     "build": "pnpm -r build",
     "dev": "pnpm -r dev",
     "dev:gatekeeper": "bash -c 'trap \"COMPOSE_PROJECT_NAME=gatekeeper docker-compose -f docker-compose.gatekeeper.yml down\" EXIT INT TERM; docker network create infra 2>/dev/null || true && COMPOSE_PROJECT_NAME=gatekeeper docker-compose -f docker-compose.gatekeeper.yml down && COMPOSE_PROJECT_NAME=gatekeeper docker-compose -f docker-compose.gatekeeper.yml up --build --remove-orphans'",
-    "dev:mcps:up": "docker-compose -f docker-compose.mcps.yml up -d",
-    "dev:mcps:down": "docker-compose -f docker-compose.mcps.yml down && pm2 delete ecosystem.mcps.config.cjs || true",
+    "dev:mcps:up": "docker-compose -f docker-compose.mcps.yml up -d --build --remove-orphans",
+    "dev:mcps:down": "docker-compose -f docker-compose.mcps.yml down",
     "dev:mcps:watch": "pnpm -r --filter=\"./packages/*-mcp\" exec tsc -w",
-    "dev:mcps": "npm run dev:mcps:up && pm2 start ecosystem.mcps.config.cjs --watch && npm run dev:mcps:watch",
-    "start:mcps:run": "pm2 start ecosystem.mcps.config.cjs",
-    "start:mcps": "npm run dev:mcps:up && npm run start:mcps:run",
+    "dev:mcps": "npm run dev:mcps:up && npm run dev:mcps:watch",
+    "start:mcps": "npm run dev:mcps:up",
+    "start:mcps:force": "docker-compose -f docker-compose.mcps.yml up -d --build --force-recreate --remove-orphans",
     "lint": "pnpm -r --filter='./packages/**' --filter='./apps/**' lint",
     "test": "pnpm -r test",
     "changeset": "changeset",
@@ -56,7 +56,7 @@
     "pino-pretty": "^13.1.3",
     "require-in-the-middle": "^8.0.1"
   },
-  "version": "1.9.16",
+  "version": "1.9.17",
   "pnpm": {
     "onlyBuiltDependencies": [
       "@parcel/watcher",
@@ -75,4 +75,4 @@
       "@sentry/nextjs": "10.38.0"
     }
   }
-}
+}

packages/cli/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/cli",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/cloner-library/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/cloner",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "type": "module",
   "main": "dist/index.js",
   "module": "dist/index.js",

packages/concept-engine/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/concept-engine",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "description": "AI-powered web project concept generation and analysis",
   "type": "module",
   "main": "./dist/index.js",

packages/content-engine/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/content-engine",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "private": false,
   "type": "module",
   "main": "./dist/index.js",

packages/eslint-config/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/eslint-config",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/estimation-engine/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/estimation-engine",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "type": "module",
   "main": "./dist/index.js",
   "module": "./dist/index.js",

packages/gatekeeper/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/gatekeeper",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "type": "module",
   "scripts": {
     "dev": "next dev",

packages/gatekeeper/src/app/login/page.tsx

@@ -1,7 +1,6 @@
 import { cookies } from "next/headers";
 import { redirect } from "next/navigation";
 import { ShieldCheck } from "lucide-react";
-import Image from "next/image";
 import { GateScene } from "../../components/gate-scene";
 import { AnimatedLoginForm } from "../../components/animated-login-form";
 
@@ -165,14 +164,13 @@ export default async function LoginPage({ searchParams }: LoginPageProps) {
               rel="noopener noreferrer"
               className="w-14 h-14 bg-white rounded-2xl flex items-center justify-center shadow-lg shadow-black/[0.06] hover:scale-105 hover:shadow-black/10 transition-all duration-500 ease-[cubic-bezier(0.23,1,0.32,1)] border border-black/[0.06] hover:border-black/10"
             >
-              <Image
+              <img
                 src="/gatekeeper/icon-white.svg"
                 alt="Mintel"
                 style={{ filter: "invert(1)" }}
                 width={28}
                 height={28}
                 className="w-7 h-7 opacity-80"
-                unoptimized
               />
             </a>
           </div>
@@ -214,14 +212,13 @@ export default async function LoginPage({ searchParams }: LoginPageProps) {
                 rel="noopener noreferrer"
                 className="opacity-30 transition-opacity hover:opacity-60"
               >
-                <Image
+                <img
                   src="/gatekeeper/logo-white.svg"
                   alt={projectName}
                   width={120}
                   height={36}
                   className="h-5 sm:h-6 w-auto"
                   style={{ filter: "invert(1)" }}
-                  unoptimized
                 />
               </a>
               <p className="text-[7px] font-sans font-semibold text-black/25 uppercase tracking-[0.5em] text-center">

packages/gitea-mcp/Dockerfile

@@ -2,7 +2,7 @@ FROM node:20-alpine AS builder
 
 WORKDIR /app
 COPY package.json pnpm-lock.yaml* ./
-RUN corepack enable pnpm && pnpm install
+RUN npm install -g pnpm@10.18.3 && pnpm install
 
 COPY tsconfig.json ./
 COPY src ./src
@@ -15,5 +15,5 @@ COPY --from=builder /app/package.json ./
 COPY --from=builder /app/node_modules ./node_modules
 COPY --from=builder /app/dist ./dist
 
-# Use node to run the compiled index.js
-ENTRYPOINT ["node", "dist/index.js"]
+# Use node to run the compiled start.js
+ENTRYPOINT ["node", "dist/start.js"]

packages/gitea-mcp/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/gitea-mcp",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "description": "Native Gitea MCP server for 100% Antigravity compatibility",
   "main": "dist/index.js",
   "type": "module",
@@ -12,11 +12,10 @@
     "@modelcontextprotocol/sdk": "^1.5.0",
     "axios": "^1.7.2",
     "dotenv": "^17.3.1",
-    "express": "^5.2.1",
-    "zod": "^3.23.8"
+    "express": "^4.19.2"
   },
   "devDependencies": {
-    "@types/express": "^5.0.6",
+    "@types/express": "^4.17.21",
     "@types/node": "^20.14.10",
     "typescript": "^5.5.3"
   }

packages/gitea-mcp/src/start.ts

@@ -5,9 +5,9 @@ import { fileURLToPath } from 'url';
 const __dirname = fileURLToPath(new URL('.', import.meta.url));
 
 // Try to load .env.local first (contains credentials usually)
-config({ path: resolve(__dirname, '../../../.env.local') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env.local') });
 // Fallback to .env (contains defaults)
-config({ path: resolve(__dirname, '../../../.env') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env') });
 
 // Now boot the compiled MCP index
 import('./index.js').catch(err => {

packages/glitchtip-mcp/Dockerfile

@@ -0,0 +1,15 @@
+FROM node:20-bookworm-slim AS builder
+WORKDIR /app
+COPY package.json ./
+RUN npm install -g pnpm@10.18.3 && pnpm install --ignore-workspace
+COPY tsconfig.json ./
+COPY src ./src
+RUN pnpm build
+
+FROM node:20-bookworm-slim
+WORKDIR /app
+COPY --from=builder /app/package.json ./
+COPY --from=builder /app/node_modules ./node_modules
+COPY --from=builder /app/dist ./dist
+
+ENTRYPOINT ["node", "dist/start.js"]

packages/glitchtip-mcp/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/glitchtip-mcp",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "description": "GlitchTip Error Tracking MCP server for Mintel infrastructure",
   "main": "dist/index.js",
   "type": "module",
@@ -13,13 +13,12 @@
     "@modelcontextprotocol/sdk": "^1.5.0",
     "axios": "^1.7.2",
     "dotenv": "^17.3.1",
-    "express": "^5.2.1",
-    "zod": "^3.23.8"
+    "express": "^4.19.2"
   },
   "devDependencies": {
-    "@types/express": "^5.0.6",
+    "@types/express": "^4.17.21",
     "@types/node": "^20.14.10",
-    "typescript": "^5.5.3",
-    "tsx": "^4.19.2"
+    "tsx": "^4.19.2",
+    "typescript": "^5.5.3"
   }
 }

packages/glitchtip-mcp/src/index.ts

@@ -1,6 +1,7 @@
 import { Server } from "@modelcontextprotocol/sdk/server/index.js";
 import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
-import express from 'express';
+import express, { Request, Response } from 'express';
+import crypto from 'crypto';
 import {
     CallToolRequestSchema,
     ListToolsRequestSchema,
@@ -23,7 +24,25 @@ const httpsAgent = new https.Agent({
 const glitchtipClient = axios.create({
     baseURL: `${GLITCHTIP_BASE_URL}/api/0`,
     headers: { Authorization: `Bearer ${GLITCHTIP_API_KEY}` },
-    httpsAgent
+    httpsAgent,
+    timeout: 10000 // Add timeout to prevent hangs
+});
+
+// Logging middleware for GlitchTip client
+glitchtipClient.interceptors.request.use((config) => {
+    console.error(`GlitchTip Request: ${config.method?.toUpperCase()} ${config.url}`);
+    return config;
+}, (error) => {
+    console.error(`GlitchTip Request Error: ${error.message}`);
+    return Promise.reject(error);
+});
+
+glitchtipClient.interceptors.response.use((response) => {
+    return response;
+}, (error) => {
+    const msg = error.response?.data?.detail || error.response?.data?.message || error.message;
+    console.error(`GlitchTip API Error (${error.config?.url}): ${msg}`);
+    return Promise.reject(error);
 });
 
 const LIST_PROJECTS_TOOL: Tool = {
@@ -87,48 +106,37 @@ server.setRequestHandler(ListToolsRequestSchema, async () => ({
 }));
 
 server.setRequestHandler(CallToolRequestSchema, async (request) => {
-    if (request.params.name === "glitchtip_list_projects") {
-        try {
+    try {
+        if (request.params.name === "glitchtip_list_projects") {
             const res = await glitchtipClient.get('/projects/');
             return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    if (request.params.name === "glitchtip_list_issues") {
-        const { organization_slug, project_slug, query, limit = 20 } = request.params.arguments as any;
-        try {
+        if (request.params.name === "glitchtip_list_issues") {
+            const { organization_slug, project_slug, query, limit = 20 } = request.params.arguments as any;
             const res = await glitchtipClient.get(`/projects/${organization_slug}/${project_slug}/issues/`, {
                 params: { query, limit }
             });
             return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    if (request.params.name === "glitchtip_get_issue_details") {
-        const { issue_id } = request.params.arguments as any;
-        try {
+        if (request.params.name === "glitchtip_get_issue_details") {
+            const { issue_id } = request.params.arguments as any;
             const res = await glitchtipClient.get(`/issues/${issue_id}/`);
             return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    if (request.params.name === "glitchtip_update_issue") {
-        const { issue_id, status } = request.params.arguments as any;
-        try {
+        if (request.params.name === "glitchtip_update_issue") {
+            const { issue_id, status } = request.params.arguments as any;
             const res = await glitchtipClient.put(`/issues/${issue_id}/`, { status });
             return { content: [{ type: "text", text: `Issue ${issue_id} status updated to ${status}.` }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    throw new Error(`Unknown tool: ${request.params.name}`);
+        throw new Error(`Unknown tool: ${request.params.name}`);
+    } catch (e: any) {
+        const msg = e.response?.data?.detail || e.response?.data?.message || e.message;
+        return { isError: true, content: [{ type: "text", text: `GlitchTip Service Error: ${msg}` }] };
+    }
 });
 
 async function run() {
@@ -141,25 +149,65 @@ async function run() {
         console.error('GlitchTip MCP server is running on stdio');
     } else {
         const app = express();
-        let transport: SSEServerTransport | null = null;
+        const transports = new Map<string, SSEServerTransport>();
 
-        app.get('/sse', async (req, res) => {
-            console.error('New SSE connection established');
-            transport = new SSEServerTransport('/message', res);
-            await server.connect(transport);
+        // Manual CORS middleware
+        app.use((req, res, next) => {
+            res.setHeader('Access-Control-Allow-Origin', '*');
+            res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS');
+            res.setHeader('Access-Control-Allow-Headers', 'Content-Type, Authorization, x-mcp-protocol-version');
+            if (req.method === 'OPTIONS') {
+                res.status(204).end();
+                return;
+            }
+            next();
         });
 
-        app.post('/message', async (req, res) => {
+        app.use((req, _res, next) => {
+            console.error(`${req.method} ${req.url}`);
+            next();
+        });
+
+        app.get('/sse', async (req, res) => {
+            const transport = new SSEServerTransport('/message', res as any);
+            const sessionId = transport.sessionId;
+            console.error(`New SSE connection: ${sessionId}`);
+            transports.set(sessionId, transport);
+
+            const heartbeatInterval = setInterval(() => {
+                res.write(": heartbeat\n\n");
+            }, 15000);
+
+            req.on('close', () => {
+                console.error(`SSE connection closed: ${sessionId}`);
+                clearInterval(heartbeatInterval);
+                transports.delete(sessionId);
+            });
+
+            await server.connect(transport);
+            
+            await new Promise((resolve) => {
+                req.on('close', resolve);
+            });
+        });
+
+        app.post('/message', express.json(), async (req, res) => {
+            const sessionId = req.query.sessionId as string;
+            const transport = transports.get(sessionId);
+
+            console.error(`POST /message/${sessionId} - Active transports: ${transports.size}`);
+
             if (!transport) {
-                res.status(400).send('No active SSE connection');
+                console.error(`No transport found for session: ${sessionId}`);
+                res.status(400).send('No active SSE connection for this session');
                 return;
             }
             await transport.handlePostMessage(req, res);
         });
 
-        const PORT = process.env.GLITCHTIP_MCP_PORT || 3005;
-        app.listen(PORT, () => {
-            console.error(`GlitchTip MCP server running on http://localhost:${PORT}/sse`);
+        const PORT = Number(process.env.GLITCHTIP_MCP_PORT) || 3005;
+        app.listen(PORT, '0.0.0.0', () => {
+            console.error(`GlitchTip MCP server running on http://0.0.0.0:${PORT}/sse`);
         });
     }
 }

packages/glitchtip-mcp/src/start.ts

@@ -4,8 +4,8 @@ import { fileURLToPath } from 'url';
 
 const __dirname = fileURLToPath(new URL('.', import.meta.url));
 
-config({ path: resolve(__dirname, '../../../.env.local') });
-config({ path: resolve(__dirname, '../../../.env') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env.local') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env') });
 
 import('./index.js').catch(err => {
     console.error('Failed to start GlitchTip MCP Server:', err);

packages/husky-config/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/husky-config",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/infra/docker/config.yml

@@ -0,0 +1,2 @@
+service:
+  allowiconchanges: false

packages/infra/docker/vikunja-compose.yml

@@ -0,0 +1,42 @@
+services:
+  db:
+    image: postgres:15-alpine
+    environment:
+      POSTGRES_USER: vikunja
+      POSTGRES_PASSWORD: mintel_vikunja_DB_2026!
+      POSTGRES_DB: vikunja
+    volumes:
+      - ./data/db:/var/lib/postgresql/data
+    restart: always
+
+  vikunja:
+    image: vikunja/vikunja:latest
+    environment:
+      VIKUNJA_DATABASE_HOST: db
+      VIKUNJA_DATABASE_PASSWORD: mintel_vikunja_DB_2026!
+      VIKUNJA_DATABASE_TYPE: postgres
+      VIKUNJA_DATABASE_USER: vikunja
+      VIKUNJA_DATABASE_DATABASE: vikunja
+      VIKUNJA_SERVICE_PUBLICURL: https://tasks.infra.mintel.me/
+      VIKUNJA_SERVICE_ENABLEREGISTRATION: true
+      VIKUNJA_SERVICE_ALLOWICONCHANGES: false
+      VIKUNJA_SERVICE_JWTSECRET: d2FzaHViZXJzZWN1cmVqd3RzZWNyZXQyMDI2IQ==
+    volumes:
+      - ./data/files:/app/vikunja/files
+      - ./config.yml:/etc/vikunja/config.yml:ro
+    depends_on:
+      - db
+    restart: always
+    labels:
+      - "traefik.enable=true"
+      - "traefik.http.routers.vikunja.rule=Host(`tasks.infra.mintel.me`)"
+      - "traefik.http.routers.vikunja.entrypoints=websecure"
+      - "traefik.http.routers.vikunja.tls.certresolver=le"
+      - "traefik.http.services.vikunja.loadbalancer.server.port=3456"
+    networks:
+      - default
+      - infra
+
+networks:
+  infra:
+    external: true

packages/infra/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/infra",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/infra/scripts/mintel-optimizer.sh

@@ -56,7 +56,17 @@ fi
 # 3. Global Docker Pruning
 echo "🧹 Pruning Docker resources..."
 docker system prune -af --filter "until=24h"
+
+echo "🧹 Pruning BuildKit builder containers and cache..."
+# Remove orphaned buildkit containers to release volume locks
+docker rm -f $(docker ps -aq --filter name=buildx_buildkit_builder) 2>/dev/null || true
+docker builder prune -af || true
+docker buildx prune -af || true
+
+echo "🧹 Pruning Docker volumes..."
 docker volume prune -f
+# Force remove dangling buildx state volumes that might bypass standard prune
+docker volume ls -q | grep buildx | xargs -r docker volume rm 2>/dev/null || true
 
 echo "✅ Optimization complete!"
 df -h /mnt/HC_Volume_104796416

packages/infra/scripts/prune-registry.sh

@@ -1,8 +1,14 @@
 #!/bin/bash
 set -e
 
-# Configuration
-REGISTRY_DATA="/mnt/HC_Volume_104575103/registry-data/docker/registry/v2"
+# Find registry data dynamically (volume ID might change)
+REGISTRY_DATA=$(find /mnt -maxdepth 5 -type d -path '*/registry-data/docker/registry/v2' | head -n 1)
+
+if [ -z "$REGISTRY_DATA" ]; then
+    echo "❌ Registry data directory not found!"
+    exit 1
+fi
+
 KEEP_TAGS=3
 
 echo "🏥 Starting Aggressive Registry & Docker Maintenance..."

packages/journaling/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/journaling",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "type": "module",
   "main": "./dist/index.js",
   "module": "./dist/index.js",

packages/klz-payload-mcp/Dockerfile

@@ -0,0 +1,15 @@
+FROM node:20-bookworm-slim AS builder
+WORKDIR /app
+COPY package.json ./
+RUN npm install -g pnpm@10.18.3 && pnpm install --ignore-workspace
+COPY tsconfig.json ./
+COPY src ./src
+RUN pnpm build
+
+FROM node:20-bookworm-slim
+WORKDIR /app
+COPY --from=builder /app/package.json ./
+COPY --from=builder /app/node_modules ./node_modules
+COPY --from=builder /app/dist ./dist
+
+ENTRYPOINT ["node", "dist/start.js"]

packages/klz-payload-mcp/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/klz-payload-mcp",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "description": "KLZ PayloadCMS MCP server for technical product data and leads",
   "main": "dist/index.js",
   "type": "module",
@@ -10,16 +10,15 @@
     "dev": "tsx watch src/index.ts"
   },
   "dependencies": {
-    "@modelcontextprotocol/sdk": "^1.27.1",
+    "@modelcontextprotocol/sdk": "^1.5.0",
     "axios": "^1.7.2",
     "dotenv": "^17.3.1",
-    "express": "^5.2.1",
-    "zod": "^3.23.8"
+    "express": "^4.19.2"
   },
   "devDependencies": {
-    "@types/express": "^5.0.6",
+    "@types/express": "^4.17.21",
     "@types/node": "^20.14.10",
-    "typescript": "^5.5.3",
-    "tsx": "^4.19.2"
+    "tsx": "^4.19.2",
+    "typescript": "^5.5.3"
   }
 }

packages/klz-payload-mcp/src/index.ts

@@ -7,6 +7,7 @@ import {
     Tool,
 } from "@modelcontextprotocol/sdk/types.js";
 import axios from "axios";
+import crypto from "crypto";
 import https from "https";
 
 const PAYLOAD_URL = process.env.PAYLOAD_URL || "https://klz-cables.com";
@@ -588,25 +589,60 @@ async function run() {
         console.error('KLZ Payload MCP server is running on stdio');
     } else {
         const app = express();
-        let transport: SSEServerTransport | null = null;
+        const transports = new Map<string, SSEServerTransport>();
 
-        app.get('/sse', async (req: Request, res: Response) => {
-            console.error('New SSE connection established');
-            transport = new SSEServerTransport('/message', res);
-            await server.connect(transport);
+        // Manual CORS middleware
+        app.use((req, res, next) => {
+            res.setHeader('Access-Control-Allow-Origin', '*');
+            res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS');
+            res.setHeader('Access-Control-Allow-Headers', 'Content-Type, Authorization, x-mcp-protocol-version');
+            if (req.method === 'OPTIONS') {
+                res.status(204).end();
+                return;
+            }
+            next();
         });
 
-        app.post('/message', async (req: Request, res: Response) => {
+        app.use((req, _res, next) => {
+            console.error(`${req.method} ${req.url}`);
+            next();
+        });
+
+        app.get('/sse', async (req, res) => {
+            const transport = new SSEServerTransport('/message', res as any);
+            const sessionId = transport.sessionId;
+            console.error(`New SSE connection: ${sessionId}`);
+            transports.set(sessionId, transport);
+
+            req.on('close', () => {
+                console.error(`SSE connection closed: ${sessionId}`);
+                transports.delete(sessionId);
+            });
+
+            await server.connect(transport);
+            
+            await new Promise((resolve) => {
+                req.on('close', resolve);
+            });
+        });
+
+        app.post('/message', express.json(), async (req, res) => {
+            const sessionId = req.query.sessionId as string;
+            const transport = transports.get(sessionId);
+
+            console.error(`POST /message/${sessionId} - Active transports: ${transports.size}`);
+
             if (!transport) {
-                res.status(400).send('No active SSE connection');
+                console.error(`No transport found for session: ${sessionId}`);
+                res.status(400).send('No active SSE connection for this session');
                 return;
             }
             await transport.handlePostMessage(req, res);
         });
 
-        const PORT = process.env.KLZ_PAYLOAD_MCP_PORT || 3006;
-        app.listen(PORT, () => {
-            console.error(`KLZ Payload MCP server running on http://localhost:${PORT}/sse`);
+        const PORT = Number(process.env.KLZ_PAYLOAD_MCP_PORT) || 3006;
+        app.listen(PORT, '0.0.0.0', () => {
+            console.error(`KLZ Payload MCP server running on http://0.0.0.0:${PORT}/sse`);
         });
     }
 }

packages/klz-payload-mcp/src/start.ts

@@ -4,8 +4,8 @@ import { fileURLToPath } from 'url';
 
 const __dirname = fileURLToPath(new URL('.', import.meta.url));
 
-config({ path: resolve(__dirname, '../../../.env.local') });
-config({ path: resolve(__dirname, '../../../.env') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env.local') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env') });
 
 import('./index.js').catch(err => {
     console.error('Failed to start KLZ Payload MCP Server:', err);

packages/mail/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/mail",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "private": false,
   "publishConfig": {
     "access": "public",

packages/mail/src/index.ts

@@ -25,3 +25,4 @@ export * from "./templates/ConfirmationMessage";
 export * from "./templates/FollowUpTemplate";
 export * from "./templates/ProjectEstimateTemplate";
 export * from "./templates/SiteAuditTemplate";
+export * from "./templates/MonthlyAnalyticsTemplate";

packages/mail/src/templates/MonthlyAnalyticsTemplate.tsx

@@ -0,0 +1,205 @@
+import * as React from "react";
+import { Heading, Section, Text, Row, Column } from "@react-email/components";
+import { MintelLayout } from "../layouts/MintelLayout";
+
+export interface MonthlyAnalyticsTemplateProps {
+  clientName: string;
+  domain: string;
+  month: string;
+  year: string;
+  totalVisitors: number;
+  totalPageviews: number;
+  topPages: { url: string; views: number }[];
+  topReferrers: { url: string; visitors: number }[];
+}
+
+export const MonthlyAnalyticsTemplate = ({
+  clientName,
+  domain,
+  month,
+  year,
+  totalVisitors,
+  totalPageviews,
+  topPages,
+  topReferrers,
+}: MonthlyAnalyticsTemplateProps) => {
+  const preview = `Ihr Website-Report für ${month} ${year}: ${domain}`;
+
+  return (
+    <MintelLayout preview={preview}>
+      <Heading style={h1}>Monatsreport: {month} {year}</Heading>
+      <Text style={intro}>
+        Hallo {clientName},<br /><br />
+        hier ist der monatliche Performance-Report für Ihre Website ({domain}). 
+        Die Daten zeigen, wie viele Menschen Ihre Seite besucht haben und welche Inhalte am beliebtesten waren.
+      </Text>
+
+      <Section style={metricsContainer}>
+        <Row>
+          <Column style={metricColumn}>
+            <Text style={metricLabel}>BESUCHER</Text>
+            <Text style={metricValue}>{totalVisitors.toLocaleString('de-DE')}</Text>
+          </Column>
+          <Column style={metricColumn}>
+            <Text style={metricLabel}>SEITENAUFRUFE</Text>
+            <Text style={metricValue}>{totalPageviews.toLocaleString('de-DE')}</Text>
+          </Column>
+        </Row>
+      </Section>
+
+      <Section style={auditContainer}>
+        <Heading as="h2" style={h2}>Top Seiten</Heading>
+        {topPages.map((page, i) => (
+          <Row key={i} style={highlightRow}>
+            <Column style={bulletCol}>
+              <div style={bullet} />
+            </Column>
+            <Column>
+              <Text style={highlightText}>{page.url}</Text>
+            </Column>
+            <Column align="right">
+              <Text style={highlightNumber}>{page.views.toLocaleString('de-DE')} Aufrufe</Text>
+            </Column>
+          </Row>
+        ))}
+      </Section>
+
+      <Section style={auditContainer}>
+        <Heading as="h2" style={h2}>Top Besucherquellen</Heading>
+        {topReferrers.length > 0 ? topReferrers.map((ref, i) => (
+          <Row key={i} style={highlightRow}>
+            <Column style={bulletCol}>
+              <div style={bullet} />
+            </Column>
+            <Column>
+              <Text style={highlightText}>{ref.url || "Direktaufruf"}</Text>
+            </Column>
+            <Column align="right">
+              <Text style={highlightNumber}>{ref.visitors.toLocaleString('de-DE')} Besucher</Text>
+            </Column>
+          </Row>
+        )) : (
+          <Text style={highlightText}>Keine externen Quellen verzeichnet.</Text>
+        )}
+      </Section>
+
+      <Text style={bodyText}>
+        Haben Sie Fragen zu diesen Zahlen oder möchten Sie die Reichweite Ihrer Seite weiter ausbauen? 
+        Antworten Sie einfach auf diese E-Mail.
+      </Text>
+
+      <Text style={footerText}>
+        Beste Grüße,<br />
+        <strong>Marc Mintel</strong><br />
+        Digitaler Architekt
+      </Text>
+    </MintelLayout>
+  );
+};
+
+export default MonthlyAnalyticsTemplate;
+
+const h1 = {
+  fontSize: "28px",
+  fontWeight: "900",
+  margin: "0 0 24px",
+  color: "#ffffff",
+  letterSpacing: "-0.04em",
+};
+
+const h2 = {
+  fontSize: "14px",
+  fontWeight: "900",
+  textTransform: "uppercase" as const,
+  color: "#444444",
+  margin: "0 0 16px",
+  letterSpacing: "0.1em",
+};
+
+const intro = {
+  fontSize: "16px",
+  lineHeight: "24px",
+  color: "#cccccc",
+  margin: "0 0 32px",
+};
+
+const metricsContainer = {
+  backgroundColor: "#151515",
+  padding: "32px",
+  borderRadius: "8px",
+  marginBottom: "32px",
+  border: "1px solid #222222",
+  textAlign: "center" as const,
+};
+
+const metricColumn = {
+  width: "50%",
+};
+
+const metricLabel = {
+  fontSize: "12px",
+  fontWeight: "bold",
+  color: "#888888",
+  letterSpacing: "0.1em",
+  margin: "0 0 8px",
+};
+
+const metricValue = {
+  fontSize: "36px",
+  fontWeight: "900",
+  color: "#4CAF50",
+  margin: "0",
+  letterSpacing: "-0.02em",
+};
+
+const auditContainer = {
+  backgroundColor: "#151515",
+  padding: "32px",
+  borderRadius: "8px",
+  marginBottom: "32px",
+  border: "1px solid #222222",
+};
+
+const highlightRow = {
+  marginBottom: "12px",
+};
+
+const bulletCol = {
+  width: "24px",
+  verticalAlign: "top" as const,
+};
+
+const bullet = {
+  width: "6px",
+  height: "6px",
+  backgroundColor: "#4CAF50",
+  marginTop: "8px",
+};
+
+const highlightText = {
+  fontSize: "15px",
+  color: "#ffffff",
+  margin: "0",
+  lineHeight: "22px",
+  wordBreak: "break-all" as const,
+};
+
+const highlightNumber = {
+  fontSize: "15px",
+  color: "#888888",
+  margin: "0",
+  whiteSpace: "nowrap" as const,
+};
+
+const bodyText = {
+  fontSize: "16px",
+  lineHeight: "24px",
+  color: "#888888",
+  margin: "0 0 32px",
+};
+
+const footerText = {
+  fontSize: "14px",
+  color: "#666666",
+  lineHeight: "20px",
+};

packages/meme-generator/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/meme-generator",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "private": false,
   "type": "module",
   "main": "./dist/index.js",

packages/memory-mcp/Dockerfile

@@ -0,0 +1,18 @@
+FROM node:20-bookworm-slim AS builder
+WORKDIR /app
+COPY package.json ./
+RUN npm install -g pnpm@10.18.3 && pnpm install --ignore-workspace
+RUN for dir in $(find /app/node_modules -type d -name "sharp" | grep "node_modules/sharp$"); do \
+    echo "module.exports = {};" > "$dir/lib/index.js" || true; \
+    done
+COPY tsconfig.json ./
+COPY src ./src
+RUN pnpm build
+
+FROM node:20-bookworm-slim
+WORKDIR /app
+COPY --from=builder /app/package.json ./
+COPY --from=builder /app/node_modules ./node_modules
+COPY --from=builder /app/dist ./dist
+
+ENTRYPOINT ["node", "dist/start.js"]

packages/memory-mcp/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/memory-mcp",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "description": "Local Qdrant-based Memory MCP server",
   "main": "dist/index.js",
   "type": "module",
@@ -14,15 +14,16 @@
     "@modelcontextprotocol/sdk": "^1.5.0",
     "@qdrant/js-client-rest": "^1.12.0",
     "@xenova/transformers": "^2.17.2",
+    "onnxruntime-node": "^1.14.0",
     "dotenv": "^17.3.1",
-    "express": "^5.2.1",
+    "express": "^4.19.2",
     "zod": "^3.23.8"
   },
   "devDependencies": {
-    "@types/express": "^5.0.6",
+    "@types/express": "^4.17.21",
     "@types/node": "^20.14.10",
     "tsx": "^4.19.1",
     "typescript": "^5.5.3",
     "vitest": "^2.1.3"
   }
-}
+}

packages/memory-mcp/src/index.ts

@@ -1,6 +1,7 @@
 import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
 import { SSEServerTransport } from '@modelcontextprotocol/sdk/server/sse.js';
 import express from 'express';
+import crypto from 'crypto';
 import { z } from 'zod';
 import { QdrantMemoryService } from './qdrant.js';
 
@@ -77,25 +78,65 @@ async function main() {
         }
     } else {
         const app = express();
-        let transport: SSEServerTransport | null = null;
+        const transports = new Map<string, SSEServerTransport>();
 
-        app.get('/sse', async (req, res) => {
-            console.error('New SSE connection established');
-            transport = new SSEServerTransport('/message', res);
-            await server.connect(transport);
+        // Manual CORS middleware
+        app.use((req, res, next) => {
+            res.setHeader('Access-Control-Allow-Origin', '*');
+            res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS');
+            res.setHeader('Access-Control-Allow-Headers', 'Content-Type, Authorization, x-mcp-protocol-version');
+            if (req.method === 'OPTIONS') {
+                res.status(204).end();
+                return;
+            }
+            next();
         });
 
-        app.post('/message', async (req, res) => {
+        app.use((req, _res, next) => {
+            console.error(`${req.method} ${req.url}`);
+            next();
+        });
+
+        app.get('/sse', async (req, res) => {
+            const transport = new SSEServerTransport('/message', res as any);
+            const sessionId = transport.sessionId;
+            console.error(`New SSE connection: ${sessionId}`);
+            transports.set(sessionId, transport);
+
+            const heartbeatInterval = setInterval(() => {
+                res.write(": heartbeat\n\n");
+            }, 15000);
+
+            req.on('close', () => {
+                console.error(`SSE connection closed: ${sessionId}`);
+                clearInterval(heartbeatInterval);
+                transports.delete(sessionId);
+            });
+
+            await server.connect(transport);
+            
+            await new Promise((resolve) => {
+                req.on('close', resolve);
+            });
+        });
+
+        app.post('/message', express.json(), async (req, res) => {
+            const sessionId = req.query.sessionId as string;
+            const transport = transports.get(sessionId);
+
+            console.error(`POST /message/${sessionId} - Active transports: ${transports.size}`);
+
             if (!transport) {
-                res.status(400).send('No active SSE connection');
+                console.error(`No transport found for session: ${sessionId}`);
+                res.status(400).send('No active SSE connection for this session');
                 return;
             }
             await transport.handlePostMessage(req, res);
         });
 
-        const PORT = process.env.MEMORY_MCP_PORT || 3002;
-        app.listen(PORT, async () => {
-            console.error(`Memory MCP server running on http://localhost:${PORT}/sse`);
+        const PORT = Number(process.env.MEMORY_MCP_PORT) || 3002;
+        app.listen(PORT, '0.0.0.0', async () => {
+            console.error(`Memory MCP server running on http://0.0.0.0:${PORT}/sse`);
             // Initialize dependencies in SSE mode on startup
             try {
                 await qdrantService.initialize();

packages/memory-mcp/src/start.ts

@@ -5,9 +5,9 @@ import { fileURLToPath } from 'url';
 const __dirname = fileURLToPath(new URL('.', import.meta.url));
 
 // Try to load .env.local first (contains credentials usually)
-config({ path: resolve(__dirname, '../../../.env.local') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env.local') });
 // Fallback to .env (contains defaults)
-config({ path: resolve(__dirname, '../../../.env') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env') });
 
 // Now boot the compiled MCP index
 import('./index.js').catch(err => {

packages/next-config/index.js

@@ -53,6 +53,31 @@ const withMintelConfig = (config) => {
 
   let nextConfig = { ...baseNextConfig, ...config };
 
+  // Explicitly merge rewrites
+  nextConfig.rewrites = async () => {
+    const defaultRewrites = await baseNextConfig.rewrites();
+    let customRewrites = {};
+    if (typeof config.rewrites === 'function') {
+      customRewrites = await config.rewrites();
+    } else if (Array.isArray(config.rewrites)) {
+      customRewrites = config.rewrites;
+    }
+
+    if (Array.isArray(customRewrites)) {
+      return {
+        beforeFiles: [...customRewrites, ...defaultRewrites],
+        afterFiles: [],
+        fallback: [],
+      };
+    }
+
+    return {
+      beforeFiles: [...(customRewrites.beforeFiles || []), ...defaultRewrites],
+      afterFiles: customRewrites.afterFiles || [],
+      fallback: customRewrites.fallback || [],
+    };
+  };
+
   if (hasI18nConfig) {
     const withNextIntl = createNextIntlPlugin();
     nextConfig = withNextIntl(nextConfig);
@@ -71,3 +96,4 @@ const withMintelConfig = (config) => {
 };
 
 export default withMintelConfig;
+

packages/next-config/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/next-config",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/next-feedback/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/next-feedback",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/next-observability/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/next-observability",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/next-utils/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/next-utils",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/observability/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/observability",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/outline-mcp/Dockerfile

@@ -0,0 +1,15 @@
+FROM node:20-bookworm-slim AS builder
+WORKDIR /app
+COPY package.json ./
+RUN npm install -g pnpm@10.18.3 && pnpm install --ignore-workspace
+COPY tsconfig.json ./
+COPY src ./src
+RUN pnpm build
+
+FROM node:20-bookworm-slim
+WORKDIR /app
+COPY --from=builder /app/package.json ./
+COPY --from=builder /app/node_modules ./node_modules
+COPY --from=builder /app/dist ./dist
+
+ENTRYPOINT ["node", "dist/start.js"]

packages/outline-mcp/package.json

@@ -0,0 +1,26 @@
+{
+  "name": "@mintel/outline-mcp",
+  "version": "1.0.0",
+  "description": "Outline MCP server for Mintel infrastructure",
+  "main": "dist/index.js",
+  "type": "module",
+  "scripts": {
+    "build": "tsc",
+    "start": "node dist/start.js",
+    "dev": "tsx watch src/index.ts",
+    "test:unit": "vitest run"
+  },
+  "dependencies": {
+    "@modelcontextprotocol/sdk": "^1.5.0",
+    "axios": "^1.7.2",
+    "dotenv": "^17.3.1",
+    "express": "^4.19.2"
+  },
+  "devDependencies": {
+    "@types/express": "^4.17.21",
+    "@types/node": "^20.14.10",
+    "tsx": "^4.19.2",
+    "typescript": "^5.5.3",
+    "vitest": "^2.1.3"
+  }
+}

packages/outline-mcp/src/index.test.ts

@@ -0,0 +1,91 @@
+import { describe, it, expect, vi, beforeEach } from 'vitest';
+import axios from 'axios';
+import { Server } from "@modelcontextprotocol/sdk/server/index.js";
+
+// Mock environment
+process.env.OUTLINE_API_TOKEN = 'test-token';
+process.env.OUTLINE_BASE_URL = 'https://outline.test';
+
+// Mock axios
+vi.mock('axios', () => {
+    const mockPost = vi.fn();
+    return {
+        default: {
+            create: vi.fn(() => ({
+                post: mockPost
+            }))
+        }
+    };
+});
+
+describe('Outline MCP Server Tools', () => {
+    let mockPost: any;
+    let requestHandler: any;
+
+    beforeEach(async () => {
+        vi.clearAllMocks();
+        
+        // Extract the mock
+        const axiosInstance = axios.create();
+        mockPost = axiosInstance.post;
+
+        // Mock Server setRequestHandler
+        let capturedHandler: any;
+        vi.spyOn(Server.prototype, 'setRequestHandler').mockImplementation((schema: any, handler: any) => {
+            // The first call is usually ListToolsRequestSchema, second is CallToolRequestSchema
+            // We just store the last one which is CallToolRequestSchema
+            capturedHandler = handler;
+            return {} as any;
+        });
+
+        // Re-import to trigger registration
+        vi.resetModules();
+        await import('./index.js');
+        
+        requestHandler = capturedHandler;
+    });
+
+    it('should search documents', async () => {
+        mockPost.mockResolvedValueOnce({ data: { data: [{ id: '1', title: 'Test' }] } });
+        
+        const result = await requestHandler({
+            params: {
+                name: 'outline_search_documents',
+                arguments: { query: 'test' }
+            }
+        });
+
+        expect(mockPost).toHaveBeenCalledWith('/api/documents.search', { query: 'test', collectionId: undefined });
+        expect(result.content[0].text).toContain('Test');
+    });
+
+    it('should get a document', async () => {
+        mockPost.mockResolvedValueOnce({ data: { data: { id: 'doc1', title: 'Doc 1' } } });
+        
+        const result = await requestHandler({
+            params: {
+                name: 'outline_get_document',
+                arguments: { id: 'doc1' }
+            }
+        });
+
+        expect(mockPost).toHaveBeenCalledWith('/api/documents.info', { id: 'doc1' });
+        expect(result.content[0].text).toContain('Doc 1');
+    });
+
+    it('should create a document', async () => {
+        mockPost.mockResolvedValueOnce({ data: { data: { id: 'new-doc' } } });
+        
+        const result = await requestHandler({
+            params: {
+                name: 'outline_create_document',
+                arguments: { collectionId: 'col1', title: 'New Doc', text: 'Hello', publish: true }
+            }
+        });
+
+        expect(mockPost).toHaveBeenCalledWith('/api/documents.create', { 
+            collectionId: 'col1', title: 'New Doc', text: 'Hello', publish: true 
+        });
+        expect(result.content[0].text).toContain('new-doc');
+    });
+});

packages/outline-mcp/src/index.ts

@@ -0,0 +1,184 @@
+import { Server } from "@modelcontextprotocol/sdk/server/index.js";
+import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
+import {
+  CallToolRequestSchema,
+  ListToolsRequestSchema,
+  Tool,
+} from "@modelcontextprotocol/sdk/types.js";
+import axios from "axios";
+
+// Environment variables
+const OUTLINE_API_TOKEN = process.env.OUTLINE_API_TOKEN;
+const OUTLINE_BASE_URL = process.env.OUTLINE_BASE_URL;
+
+if (!OUTLINE_API_TOKEN || !OUTLINE_BASE_URL) {
+  console.error("Missing required environment variables: OUTLINE_API_TOKEN or OUTLINE_BASE_URL");
+  process.exit(1);
+}
+
+const axiosInstance = axios.create({
+  baseURL: OUTLINE_BASE_URL,
+  headers: {
+    Authorization: `Bearer ${OUTLINE_API_TOKEN}`,
+    "Content-Type": "application/json",
+    Accept: "application/json",
+  },
+});
+
+// Define tools
+const tools: Tool[] = [
+  {
+    name: "outline_search_documents",
+    description: "Search for documents in Outline.",
+    inputSchema: {
+      type: "object",
+      properties: {
+        query: { type: "string", description: "Search query" },
+        collectionId: { type: "string", description: "Optional collection ID to scope search" },
+      },
+      required: ["query"],
+    },
+  },
+  {
+    name: "outline_get_document",
+    description: "Get a document by its ID.",
+    inputSchema: {
+      type: "object",
+      properties: {
+        id: { type: "string", description: "The ID of the document" },
+      },
+      required: ["id"],
+    },
+  },
+  {
+    name: "outline_create_document",
+    description: "Create a new document.",
+    inputSchema: {
+      type: "object",
+      properties: {
+        collectionId: { type: "string", description: "The ID of the collection" },
+        title: { type: "string", description: "Document title" },
+        text: { type: "string", description: "Document content in Markdown" },
+        publish: { type: "boolean", description: "Whether to publish the document" },
+      },
+      required: ["collectionId", "title", "text"],
+    },
+  },
+  {
+    name: "outline_update_document",
+    description: "Update an existing document.",
+    inputSchema: {
+      type: "object",
+      properties: {
+        id: { type: "string", description: "The ID of the document" },
+        title: { type: "string", description: "New title" },
+        text: { type: "string", description: "New content in Markdown" },
+      },
+      required: ["id"],
+    },
+  },
+  {
+    name: "outline_create_collection",
+    description: "Create a new collection.",
+    inputSchema: {
+      type: "object",
+      properties: {
+        name: { type: "string", description: "Collection name" },
+        description: { type: "string", description: "Collection description" },
+      },
+      required: ["name"],
+    },
+  },
+];
+
+const server = new Server(
+  {
+    name: "at-mintel-outline-mcp",
+    version: "1.0.0",
+  },
+  {
+    capabilities: {
+      tools: {},
+    },
+  }
+);
+
+server.setRequestHandler(ListToolsRequestSchema, async () => {
+  return { tools };
+});
+
+server.setRequestHandler(CallToolRequestSchema, async (request) => {
+  try {
+    switch (request.params.name) {
+      case "outline_search_documents": {
+        const { query, collectionId } = request.params.arguments as any;
+        const res = await axiosInstance.post("/api/documents.search", {
+          query,
+          collectionId,
+        });
+        return {
+          content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }],
+        };
+      }
+      case "outline_get_document": {
+        const { id } = request.params.arguments as any;
+        const res = await axiosInstance.post("/api/documents.info", { id });
+        return {
+          content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }],
+        };
+      }
+      case "outline_create_document": {
+        const { collectionId, title, text, publish } = request.params.arguments as any;
+        const res = await axiosInstance.post("/api/documents.create", {
+          collectionId,
+          title,
+          text,
+          publish: publish ?? true,
+        });
+        return {
+          content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }],
+        };
+      }
+      case "outline_update_document": {
+        const { id, title, text } = request.params.arguments as any;
+        const res = await axiosInstance.post("/api/documents.update", {
+          id,
+          title,
+          text,
+        });
+        return {
+          content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }],
+        };
+      }
+      case "outline_create_collection": {
+        const { name, description } = request.params.arguments as any;
+        const res = await axiosInstance.post("/api/collections.create", {
+          name,
+          description,
+        });
+        return {
+          content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }],
+        };
+      }
+      default:
+        throw new Error(`Unknown tool: ${request.params.name}`);
+    }
+  } catch (error: any) {
+    const errorMsg = error.response?.data ? JSON.stringify(error.response.data) : error.message;
+    return {
+      content: [{ type: "text", text: `API Error: ${errorMsg}` }],
+      isError: true,
+    };
+  }
+});
+
+async function main() {
+  const transport = new StdioServerTransport();
+  await server.connect(transport);
+  console.error("Outline MCP Server running on stdio");
+}
+
+main().catch((error) => {
+  console.error("Fatal error:", error);
+  process.exit(1);
+});

packages/outline-mcp/src/start.ts

@@ -0,0 +1,13 @@
+import { config } from 'dotenv';
+import { resolve } from 'path';
+import { fileURLToPath } from 'url';
+
+const __dirname = fileURLToPath(new URL('.', import.meta.url));
+
+config({ quiet: true, path: resolve(__dirname, '../../../.env.local') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env') });
+
+import('./index.js').catch(err => {
+    console.error('Failed to start Outline MCP Server:', err);
+    process.exit(1);
+});

packages/outline-mcp/tsconfig.json

@@ -0,0 +1,16 @@
+{
+    "compilerOptions": {
+        "target": "ES2022",
+        "module": "NodeNext",
+        "moduleResolution": "NodeNext",
+        "outDir": "./dist",
+        "rootDir": "./src",
+        "strict": true,
+        "esModuleInterop": true,
+        "skipLibCheck": true,
+        "forceConsistentCasingInFileNames": true
+    },
+    "include": [
+        "src/**/*"
+    ]
+}

packages/page-audit/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/page-audit",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "description": "AI-powered website IST-analysis using DataForSEO and Gemini",
   "type": "module",
   "main": "./dist/index.js",

packages/payload-ai/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/payload-ai",
-  "version": "1.9.16",
+  "version": "1.9.18",
   "description": "Reusable Payload CMS AI Extensions",
   "type": "module",
   "scripts": {
@@ -11,12 +11,13 @@
   "types": "./dist/index.d.ts",
   "exports": {
     ".": "./dist/index.js",
-    "./components/*": "./dist/components/*",
-    "./actions/*": "./dist/actions/*",
-    "./globals/*": "./dist/globals/*",
-    "./endpoints/*": "./dist/endpoints/*",
-    "./utils/*": "./dist/utils/*",
-    "./tools/*": "./dist/tools/*"
+    "./components/FieldGenerators/*": "./dist/components/FieldGenerators/*.js",
+    "./components/*": "./dist/components/*.js",
+    "./actions/*": "./dist/actions/*.js",
+    "./globals/*": "./dist/globals/*.js",
+    "./endpoints/*": "./dist/endpoints/*.js",
+    "./utils/*": "./dist/utils/*.js",
+    "./tools/*": "./dist/tools/*.js"
   },
   "peerDependencies": {
     "@payloadcms/next": ">=3.0.0",

packages/payload-ai/src/chatPlugin.ts

@@ -1,90 +1,98 @@
-import type { Config, Plugin } from 'payload'
-import { AIChatPermissionsCollection } from './collections/AIChatPermissions.js'
-import type { PayloadChatPluginConfig } from './types.js'
-import { optimizePostEndpoint } from './endpoints/optimizeEndpoint.js'
-import { generateSlugEndpoint, generateThumbnailEndpoint, generateSingleFieldEndpoint } from './endpoints/generateEndpoints.js'
+import type { Plugin } from "payload";
+import { AIChatPermissionsCollection } from "./collections/AIChatPermissions.js";
+import type { PayloadChatPluginConfig } from "./types.js";
+import { optimizePostEndpoint } from "./endpoints/optimizeEndpoint.js";
+import {
+  generateSlugEndpoint,
+  generateThumbnailEndpoint,
+  generateSingleFieldEndpoint,
+} from "./endpoints/generateEndpoints.js";
 
 export const payloadChatPlugin =
-    (pluginOptions: PayloadChatPluginConfig): Plugin =>
-        (incomingConfig) => {
-            let config = { ...incomingConfig }
+  (pluginOptions: PayloadChatPluginConfig): Plugin =>
+  (incomingConfig) => {
+    const config = { ...incomingConfig };
 
-            // If disabled, return config untouched
-            if (pluginOptions.enabled === false) {
-                return config
-            }
+    // If disabled, return config untouched
+    if (pluginOptions.enabled === false) {
+      return config;
+    }
 
-            // 1. Inject the Permissions Collection into the Schema
-            const existingCollections = config.collections || []
+    // 1. Inject the Permissions Collection into the Schema
+    const existingCollections = config.collections || [];
 
-            const mcpServers = pluginOptions.mcpServers || []
+    const mcpServers = pluginOptions.mcpServers || [];
 
-            // Dynamically populate the select options for Collections and MCP Servers
-            const permissionCollection = { ...AIChatPermissionsCollection }
-            const collectionField = permissionCollection.fields.find(f => 'name' in f && f.name === 'allowedCollections') as any
-            if (collectionField) {
-                collectionField.options = existingCollections.map(c => ({
-                    label: c.labels?.singular || c.slug,
-                    value: c.slug
-                }))
-            }
+    // Dynamically populate the select options for Collections and MCP Servers
+    const permissionCollection = { ...AIChatPermissionsCollection };
+    const collectionField = permissionCollection.fields.find(
+      (f) => "name" in f && f.name === "allowedCollections",
+    ) as any;
+    if (collectionField) {
+      collectionField.options = existingCollections.map((c) => ({
+        label: c.labels?.singular || c.slug,
+        value: c.slug,
+      }));
+    }
 
-            const mcpField = permissionCollection.fields.find(f => 'name' in f && f.name === 'allowedMcpServers') as any
-            if (mcpField) {
-                mcpField.options = mcpServers.map(s => ({
-                    label: s.name,
-                    value: s.name
-                }))
-            }
+    const mcpField = permissionCollection.fields.find(
+      (f) => "name" in f && f.name === "allowedMcpServers",
+    ) as any;
+    if (mcpField) {
+      mcpField.options = mcpServers.map((s) => ({
+        label: s.name,
+        value: s.name,
+      }));
+    }
 
-            config.collections = [...existingCollections, permissionCollection]
+    config.collections = [...existingCollections, permissionCollection];
 
-            // 2. Register Custom API Endpoint for the AI Chat
-            config.endpoints = [
-                ...(config.endpoints || []),
-                {
-                    path: '/api/mcp-chat',
-                    method: 'post',
-                    handler: async (req) => {
-                        // Fallback simple handler while developing endpoint logic
-                        return Response.json({ message: "Chat endpoint active" })
-                    },
-                },
-                {
-                    path: '/api/mintel-ai/optimize',
-                    method: 'post',
-                    handler: optimizePostEndpoint,
-                },
-                {
-                    path: '/api/mintel-ai/generate-slug',
-                    method: 'post',
-                    handler: generateSlugEndpoint,
-                },
-                {
-                    path: '/api/mintel-ai/generate-thumbnail',
-                    method: 'post',
-                    handler: generateThumbnailEndpoint,
-                },
-                {
-                    path: '/api/mintel-ai/generate-single-field',
-                    method: 'post',
-                    handler: generateSingleFieldEndpoint,
-                },
-            ]
+    // 2. Register Custom API Endpoint for the AI Chat
+    config.endpoints = [
+      ...(config.endpoints || []),
+      {
+        path: "/api/mcp-chat",
+        method: "post",
+        handler: async (_req) => {
+          // Fallback simple handler while developing endpoint logic
+          return Response.json({ message: "Chat endpoint active" });
+        },
+      },
+      {
+        path: "/api/mintel-ai/optimize",
+        method: "post",
+        handler: optimizePostEndpoint,
+      },
+      {
+        path: "/api/mintel-ai/generate-slug",
+        method: "post",
+        handler: generateSlugEndpoint,
+      },
+      {
+        path: "/api/mintel-ai/generate-thumbnail",
+        method: "post",
+        handler: generateThumbnailEndpoint,
+      },
+      {
+        path: "/api/mintel-ai/generate-single-field",
+        method: "post",
+        handler: generateSingleFieldEndpoint,
+      },
+    ];
 
-            // 3. Inject Chat React Component into Admin UI
-            if (pluginOptions.renderChatBubble !== false) {
-                config.admin = {
-                    ...(config.admin || {}),
-                    components: {
-                        ...(config.admin?.components || {}),
-                        providers: [
-                            ...(config.admin?.components?.providers || []),
-                            '@mintel/payload-ai/components/ChatWindow#ChatWindowProvider',
-                        ],
-                    },
-                }
-            }
+    // 3. Inject Chat React Component into Admin UI
+    if (pluginOptions.renderChatBubble !== false) {
+      config.admin = {
+        ...(config.admin || {}),
+        components: {
+          ...(config.admin?.components || {}),
+          providers: [
+            ...(config.admin?.components?.providers || []),
+            "@mintel/payload-ai/components/ChatWindow/index#ChatWindowProvider",
+          ],
+        },
+      };
+    }
 
-            return config
-        }
+    return config;
+  };

packages/payload-ai/src/components/ChatWindow/index.tsx

@@ -1,136 +1,156 @@
-'use client'
+"use client";
 
-import React, { useState, useEffect } from 'react'
-import { useChat } from '@ai-sdk/react'
-import './ChatWindow.scss'
+import React, { useState, useEffect } from "react";
+import { useChat } from "@ai-sdk/react";
 
-export const ChatWindowProvider: React.FC<{ children: React.ReactNode }> = ({ children }) => {
-    return (
-        <>
-            {children}
-            <ChatWindow />
-        </>
-    )
-}
+export const ChatWindowProvider: React.FC<{ children: React.ReactNode }> = ({
+  children,
+}) => {
+  return (
+    <>
+      {children}
+      <ChatWindow />
+    </>
+  );
+};
 
 const ChatWindow: React.FC = () => {
-    const [isOpen, setIsOpen] = useState(false)
-    const [pageContext, setPageContext] = useState<any>({ url: '' })
+  const [isOpen, setIsOpen] = useState(false);
+  const [pageContext, setPageContext] = useState<any>({ url: "" });
 
-    useEffect(() => {
-        if (typeof window !== 'undefined') {
-            const path = window.location.pathname;
-            let collectionSlug = null;
-            let id = null;
-            // Payload admin URLs are usually /admin/collections/:slug/:id
-            const match = path.match(/\/collections\/([^/]+)(?:\/([^/]+))?/);
-            if (match) {
-                collectionSlug = match[1];
-                if (match[2] && match[2] !== 'create') {
-                    id = match[2];
-                }
-            }
-
-            setPageContext({
-                url: window.location.href,
-                title: document.title,
-                collectionSlug,
-                id
-            })
+  useEffect(() => {
+    if (typeof window !== "undefined") {
+      const path = window.location.pathname;
+      let collectionSlug = null;
+      let id = null;
+      // Payload admin URLs are usually /admin/collections/:slug/:id
+      const match = path.match(/\/collections\/([^/]+)(?:\/([^/]+))?/);
+      if (match) {
+        collectionSlug = match[1];
+        if (match[2] && match[2] !== "create") {
+          id = match[2];
         }
-    }, [isOpen]) // Refresh context when chat is opened
+      }
 
-    // @ts-ignore - AI hook version mismatch between core and react packages
-    const { messages, input, handleInputChange, handleSubmit, setMessages } = useChat({
-        api: '/api/mcp-chat',
-        initialMessages: [],
-        body: {
-            pageContext
-        }
-    } as any)
+      setPageContext({
+        url: window.location.href,
+        title: document.title,
+        collectionSlug,
+        id,
+      });
+    }
+  }, [isOpen]); // Refresh context when chat is opened
 
-    // Basic implementation to toggle chat window and submit messages
-    return (
-        <div className="payload-mcp-chat-container">
-            <button
-                className="payload-mcp-chat-toggle"
-                onClick={() => setIsOpen(!isOpen)}
+  const { messages, input, handleInputChange, handleSubmit } = useChat({
+    api: "/api/mcp-chat",
+    initialMessages: [],
+    body: {
+      pageContext,
+    },
+  } as any) as any;
+
+  // Basic implementation to toggle chat window and submit messages
+  return (
+    <div className="payload-mcp-chat-container">
+      <button
+        className="payload-mcp-chat-toggle"
+        onClick={() => setIsOpen(!isOpen)}
+        style={{
+          position: "fixed",
+          bottom: "20px",
+          right: "20px",
+          zIndex: 9999,
+          padding: "12px 24px",
+          backgroundColor: "#000",
+          color: "#fff",
+          borderRadius: "8px",
+          border: "none",
+          cursor: "pointer",
+          fontWeight: "bold",
+        }}
+      >
+        {isOpen ? "Close AI Chat" : "Ask AI"}
+      </button>
+
+      {isOpen && (
+        <div
+          className="payload-mcp-chat-window"
+          style={{
+            position: "fixed",
+            bottom: "80px",
+            right: "20px",
+            width: "450px",
+            height: "650px",
+            backgroundColor: "#fff",
+            border: "1px solid #eaeaea",
+            borderRadius: "12px",
+            zIndex: 9999,
+            display: "flex",
+            flexDirection: "column",
+            boxShadow: "0 10px 40px rgba(0,0,0,0.1)",
+          }}
+        >
+          <div
+            className="chat-header"
+            style={{
+              padding: "16px",
+              borderBottom: "1px solid #eaeaea",
+              backgroundColor: "#f9f9f9",
+              borderTopLeftRadius: "12px",
+              borderTopRightRadius: "12px",
+            }}
+          >
+            <h3 style={{ margin: 0, fontSize: "16px" }}>Payload MCP Chat</h3>
+          </div>
+
+          <div
+            className="chat-messages"
+            style={{ flex: 1, padding: "16px", overflowY: "auto" }}
+          >
+            {messages.map((m: any) => (
+              <div
+                key={m.id}
                 style={{
-                    position: 'fixed',
-                    bottom: '20px',
-                    right: '20px',
-                    zIndex: 9999,
-                    padding: '12px 24px',
-                    backgroundColor: '#000',
-                    color: '#fff',
-                    borderRadius: '8px',
-                    border: 'none',
-                    cursor: 'pointer',
-                    fontWeight: 'bold'
+                  marginBottom: "12px",
+                  textAlign: m.role === "user" ? "right" : "left",
                 }}
-            >
-                {isOpen ? 'Close AI Chat' : 'Ask AI'}
-            </button>
-
-            {isOpen && (
+              >
                 <div
-                    className="payload-mcp-chat-window"
-                    style={{
-                        position: 'fixed',
-                        bottom: '80px',
-                        right: '20px',
-                        width: '450px',
-                        height: '650px',
-                        backgroundColor: '#fff',
-                        border: '1px solid #eaeaea',
-                        borderRadius: '12px',
-                        zIndex: 9999,
-                        display: 'flex',
-                        flexDirection: 'column',
-                        boxShadow: '0 10px 40px rgba(0,0,0,0.1)'
-                    }}
+                  style={{
+                    display: "inline-block",
+                    padding: "8px 12px",
+                    borderRadius: "8px",
+                    backgroundColor: m.role === "user" ? "#000" : "#f0f0f0",
+                    color: m.role === "user" ? "#fff" : "#000",
+                    maxWidth: "80%",
+                  }}
                 >
-                    <div className="chat-header" style={{ padding: '16px', borderBottom: '1px solid #eaeaea', backgroundColor: '#f9f9f9', borderTopLeftRadius: '12px', borderTopRightRadius: '12px' }}>
-                        <h3 style={{ margin: 0, fontSize: '16px' }}>Payload MCP Chat</h3>
-                    </div>
-
-                    <div className="chat-messages" style={{ flex: 1, padding: '16px', overflowY: 'auto' }}>
-                        {messages.map((m: any) => (
-                            <div key={m.id} style={{
-                                marginBottom: '12px',
-                                textAlign: m.role === 'user' ? 'right' : 'left'
-                            }}>
-                                <div style={{
-                                    display: 'inline-block',
-                                    padding: '8px 12px',
-                                    borderRadius: '8px',
-                                    backgroundColor: m.role === 'user' ? '#000' : '#f0f0f0',
-                                    color: m.role === 'user' ? '#fff' : '#000',
-                                    maxWidth: '80%'
-                                }}>
-                                    {m.role === 'user' ? 'G: ' : 'AI: '}
-                                    {m.content}
-                                </div>
-                            </div>
-                        ))}
-                    </div>
-
-                    <form onSubmit={handleSubmit} style={{ padding: '16px', borderTop: '1px solid #eaeaea' }}>
-                        <input
-                            value={input}
-                            placeholder="Ask me anything or use /commands..."
-                            onChange={handleInputChange}
-                            style={{
-                                width: '100%',
-                                padding: '12px',
-                                borderRadius: '8px',
-                                border: '1px solid #eaeaea',
-                                boxSizing: 'border-box'
-                            }}
-                        />
-                    </form>
+                  {m.role === "user" ? "G: " : "AI: "}
+                  {m.content}
                 </div>
-            )}
+              </div>
+            ))}
+          </div>
+
+          <form
+            onSubmit={handleSubmit}
+            style={{ padding: "16px", borderTop: "1px solid #eaeaea" }}
+          >
+            <input
+              value={input}
+              placeholder="Ask me anything or use /commands..."
+              onChange={handleInputChange}
+              style={{
+                width: "100%",
+                padding: "12px",
+                borderRadius: "8px",
+                border: "1px solid #eaeaea",
+                boxSizing: "border-box",
+              }}
+            />
+          </form>
         </div>
-    )
-}
+      )}
+    </div>
+  );
+};

packages/payload-ai/src/endpoints/chatEndpoint.ts

@@ -1,115 +1,142 @@
-import { streamText } from 'ai'
-import { createOpenAI } from '@ai-sdk/openai'
-import { generatePayloadLocalTools } from '../tools/payloadLocal.js'
-import { createMcpTools } from '../tools/mcpAdapter.js'
-import { generateMemoryTools } from '../tools/memoryDb.js'
-import type { PayloadRequest } from 'payload'
+import { streamText } from "ai";
+import { createOpenAI } from "@ai-sdk/openai";
+import { generatePayloadLocalTools } from "../tools/payloadLocal.js";
+import { createMcpTools } from "../tools/mcpAdapter.js";
+import { generateMemoryTools } from "../tools/memoryDb.js";
+import type { PayloadRequest } from "payload";
 
 const openrouter = createOpenAI({
-    baseURL: 'https://openrouter.ai/api/v1',
-    apiKey: process.env.OPENROUTER_API_KEY || 'dummy_key',
-})
+  baseURL: "https://openrouter.ai/api/v1",
+  apiKey: process.env.OPENROUTER_API_KEY || "dummy_key",
+});
 
 export const handleMcpChat = async (req: PayloadRequest) => {
-    if (!req.user) {
-        return Response.json({ error: 'Unauthorized. You must be logged in to use AI Chat.' }, { status: 401 })
+  if (!req.user) {
+    return Response.json(
+      { error: "Unauthorized. You must be logged in to use AI Chat." },
+      { status: 401 },
+    );
+  }
+
+  const { messages, pageContext } = ((await req.json?.()) || {
+    messages: [],
+  }) as { messages: any[]; pageContext?: any };
+
+  // 1. Check AI Permissions for req.user
+  // Look up the collection for permissions
+  const permissionsQuery = await req.payload.find({
+    collection: "ai-chat-permissions" as any,
+    where: {
+      or: [
+        { targetUser: { equals: req.user.id } },
+        { targetRole: { equals: req.user.role || "admin" } },
+      ],
+    },
+    limit: 10,
+  });
+
+  const allowedCollections = new Set<string>();
+  const allowedMcpServers = new Set<string>();
+
+  for (const perm of permissionsQuery.docs) {
+    if (perm.allowedCollections) {
+      perm.allowedCollections.forEach((c: string) => allowedCollections.add(c));
     }
-
-    const { messages, pageContext } = (await req.json?.() || { messages: [] }) as { messages: any[], pageContext?: any }
-
-    // 1. Check AI Permissions for req.user
-    // Look up the collection for permissions
-    const permissionsQuery = await req.payload.find({
-        collection: 'ai-chat-permissions' as any,
-        where: {
-            or: [
-                { targetUser: { equals: req.user.id } },
-                { targetRole: { equals: req.user.role || 'admin' } }
-            ]
-        },
-        limit: 10
-    })
-
-    const allowedCollections = new Set<string>()
-    const allowedMcpServers = new Set<string>()
-
-    for (const perm of permissionsQuery.docs) {
-        if (perm.allowedCollections) {
-            perm.allowedCollections.forEach((c: string) => allowedCollections.add(c))
-        }
-        if (perm.allowedMcpServers) {
-            perm.allowedMcpServers.forEach((s: string) => allowedMcpServers.add(s))
-        }
+    if (perm.allowedMcpServers) {
+      perm.allowedMcpServers.forEach((s: string) => allowedMcpServers.add(s));
     }
+  }
 
-    let accessCollections = Array.from(allowedCollections)
-    if (accessCollections.length === 0) {
-        // Fallback or demo config if not configured yet
-        accessCollections = ['users', 'pages', 'posts', 'products', 'leads', 'media']
+  let accessCollections = Array.from(allowedCollections);
+  if (accessCollections.length === 0) {
+    // Fallback or demo config if not configured yet
+    accessCollections = [
+      "users",
+      "pages",
+      "posts",
+      "products",
+      "leads",
+      "media",
+    ];
+  }
+
+  let activeTools: Record<string, any> = {};
+
+  // 2. Generate Payload Local Tools
+  if (accessCollections.length > 0) {
+    const payloadTools = generatePayloadLocalTools(
+      req.payload,
+      req,
+      accessCollections,
+    );
+    activeTools = { ...activeTools, ...payloadTools };
+  }
+
+  // 3. Connect External MCPs
+  if (Array.from(allowedMcpServers).includes("gitea")) {
+    try {
+      const { tools: giteaTools } = await createMcpTools({
+        name: "gitea",
+        command: "npx",
+        args: [
+          "-y",
+          "@modelcontextprotocol/server-gitea",
+          "--url",
+          "https://git.mintel.int",
+          "--token",
+          process.env.GITEA_TOKEN || "",
+        ],
+      });
+      activeTools = { ...activeTools, ...giteaTools };
+    } catch (e) {
+      console.error("Failed to connect to Gitea MCP", e);
     }
+  }
 
-    let activeTools: Record<string, any> = {}
+  // 4. Inject Memory Database Tools
+  // We provide the user ID so memory is partitioned per user
+  const memoryTools = generateMemoryTools(req.user.id);
+  activeTools = { ...activeTools, ...memoryTools };
 
-    // 2. Generate Payload Local Tools
-    if (accessCollections.length > 0) {
-        const payloadTools = generatePayloadLocalTools(req.payload, req, accessCollections)
-        activeTools = { ...activeTools, ...payloadTools }
-    }
-
-    // 3. Connect External MCPs
-    if (Array.from(allowedMcpServers).includes('gitea')) {
-        try {
-            const { tools: giteaTools } = await createMcpTools({
-                name: 'gitea',
-                command: 'npx',
-                args: ['-y', '@modelcontextprotocol/server-gitea', '--url', 'https://git.mintel.int', '--token', process.env.GITEA_TOKEN || '']
-            })
-            activeTools = { ...activeTools, ...giteaTools }
-        } catch (e) {
-            console.error('Failed to connect to Gitea MCP', e)
-        }
-    }
-
-    // 4. Inject Memory Database Tools
-    // We provide the user ID so memory is partitioned per user
-    const memoryTools = generateMemoryTools(req.user.id)
-    activeTools = { ...activeTools, ...memoryTools }
-
-    // 5. Build prompt to ensure it asks before saving
-    const memorySystemPrompt = `
+  // 5. Build prompt to ensure it asks before saving
+  const memorySystemPrompt = `
   You have access to a long-term vector memory database (Qdrant).
   If the user says "speicher das", "merk dir das", "vergiss das nicht" etc., you MUST use the save_memory tool.
   If the user shares important context but doesn't explicitly ask you to remember it, you should ask "Soll ich mir das für die Zukunft merken?" before saving it. Do not ask for trivial things.
-  `
+  `;
 
-    const contextContextStr = pageContext ? `
+  const contextContextStr = pageContext
+    ? `
     Current User Context:
-    URL: ${pageContext.url || 'Unknown'}
-    Title: ${pageContext.title || 'Unknown'}
-    Collection: ${pageContext.collectionSlug || 'None'}
-    Document ID: ${pageContext.id || 'None'}
+    URL: ${pageContext.url || "Unknown"}
+    Title: ${pageContext.title || "Unknown"}
+    Collection: ${pageContext.collectionSlug || "None"}
+    Document ID: ${pageContext.id || "None"}
     You can use this to understand what the user is currently looking at.
-    ` : ''
+    `
+    : "";
 
-    try {
-        const result = streamText({
-            // @ts-ignore - AI SDK type mismatch
-            model: openrouter('google/gemini-3.0-flash'),
-            messages,
-            tools: activeTools,
-            // @ts-ignore - AI SDK type mismatch with maxSteps
-            maxSteps: 10,
-            system: `You are a helpful Payload CMS Agent orchestrating the local Mintel ecosystem.
+  try {
+    const result = streamText({
+      model: openrouter("google/gemini-3.0-flash"),
+      messages,
+      tools: activeTools,
+      // @ts-expect-error - AI SDK type mismatch with maxSteps
+      maxSteps: 10,
+      system: `You are a helpful Payload CMS Agent orchestrating the local Mintel ecosystem.
       You only have access to tools explicitly granted by the Admin.
       You can completely control Payload CMS (read, create, update, delete documents).
       If you need more details to fulfill a request (e.g. creating a blog post), you can ask the user.
       ${contextContextStr}
-      ${memorySystemPrompt}`
-        })
+      ${memorySystemPrompt}`,
+    });
 
-        return result.toTextStreamResponse()
-    } catch (error) {
-        console.error("AI Error:", error)
-        return Response.json({ error: 'Failed to process AI request' }, { status: 500 })
-    }
-}
+    return result.toTextStreamResponse();
+  } catch (error) {
+    console.error("AI Error:", error);
+    return Response.json(
+      { error: "Failed to process AI request" },
+      { status: 500 },
+    );
+  }
+};

packages/payload-ai/src/endpoints/generateEndpoints.ts

@@ -4,126 +4,157 @@ import * as path from "node:path";
 import * as os from "node:os";
 
 async function getOrchestrator() {
-    const OPENROUTER_KEY =
-        process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
-    const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
+  const OPENROUTER_KEY =
+    process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
+  const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
 
-    if (!OPENROUTER_KEY) {
-        throw new Error(
-            "Missing OPENROUTER_API_KEY in .env (Required for AI generation)",
-        );
-    }
-
-    const importDynamic = new Function("modulePath", "return import(modulePath)");
-    const { AiBlogPostOrchestrator } = await importDynamic(
-        "@mintel/content-engine",
+  if (!OPENROUTER_KEY) {
+    throw new Error(
+      "Missing OPENROUTER_API_KEY in .env (Required for AI generation)",
     );
+  }
 
-    return new AiBlogPostOrchestrator({
-        apiKey: OPENROUTER_KEY,
-        replicateApiKey: REPLICATE_KEY,
-        model: "google/gemini-3-flash-preview",
-    });
+  const importDynamic = new Function("modulePath", "return import(modulePath)");
+  const { AiBlogPostOrchestrator } = await importDynamic(
+    "@mintel/content-engine",
+  );
+
+  return new AiBlogPostOrchestrator({
+    apiKey: OPENROUTER_KEY,
+    replicateApiKey: REPLICATE_KEY,
+    model: "google/gemini-3-flash-preview",
+  });
 }
 
 export const generateSlugEndpoint = async (req: PayloadRequest) => {
+  try {
+    let body: any = {};
     try {
-        const { title, draftContent, oldSlug, instructions } = (await req.json?.() || {}) as any;
-        const orchestrator = await getOrchestrator();
-        const newSlug = await orchestrator.generateSlug(
-            draftContent,
-            title,
-            instructions,
-        );
-
-        if (oldSlug && oldSlug !== newSlug) {
-            await req.payload.create({
-                collection: "redirects" as any,
-                data: {
-                    from: oldSlug,
-                    to: newSlug,
-                },
-            });
-        }
-
-        return Response.json({ success: true, slug: newSlug });
-    } catch (e: any) {
-        return Response.json({ success: false, error: e.message }, { status: 500 });
+      if (req.body) body = (await req.json?.()) || {};
+    } catch {
+      /* ignore */
     }
-}
+    const { title, draftContent, oldSlug, instructions } = body;
+    const orchestrator = await getOrchestrator();
+    const newSlug = await orchestrator.generateSlug(
+      draftContent,
+      title,
+      instructions,
+    );
+
+    if (oldSlug && oldSlug !== newSlug) {
+      await req.payload.create({
+        collection: "redirects" as any,
+        data: {
+          from: oldSlug,
+          to: newSlug,
+        },
+      });
+    }
+
+    return Response.json({ success: true, slug: newSlug });
+  } catch (e: any) {
+    return Response.json({ success: false, error: e.message }, { status: 500 });
+  }
+};
 
 export const generateThumbnailEndpoint = async (req: PayloadRequest) => {
+  try {
+    let body: any = {};
     try {
-        const { draftContent, title, instructions } = (await req.json?.() || {}) as any;
-        const OPENROUTER_KEY =
-            process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
-        const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
-
-        if (!OPENROUTER_KEY) throw new Error("Missing OPENROUTER_API_KEY in .env");
-        if (!REPLICATE_KEY) throw new Error("Missing REPLICATE_API_KEY in .env");
-
-        const importDynamic = new Function("modulePath", "return import(modulePath)");
-        const { AiBlogPostOrchestrator } = await importDynamic("@mintel/content-engine");
-        const { ThumbnailGenerator } = await importDynamic("@mintel/thumbnail-generator");
-
-        const orchestrator = new AiBlogPostOrchestrator({
-            apiKey: OPENROUTER_KEY,
-            replicateApiKey: REPLICATE_KEY,
-            model: "google/gemini-3-flash-preview",
-        });
-
-        const tg = new ThumbnailGenerator({ replicateApiKey: REPLICATE_KEY });
-
-        const prompt = await orchestrator.generateVisualPrompt(
-            draftContent || title || "Technology",
-            instructions,
-        );
-
-        const tmpPath = path.join(os.tmpdir(), `mintel-thumb-${Date.now()}.png`);
-        await tg.generateImage(prompt, tmpPath);
-
-        const fileData = await fs.readFile(tmpPath);
-        const stat = await fs.stat(tmpPath);
-        const fileName = path.basename(tmpPath);
-
-        const newMedia = await req.payload.create({
-            collection: "media" as any,
-            data: {
-                alt: title ? `Thumbnail for ${title}` : "AI Generated Thumbnail",
-            },
-            file: {
-                data: fileData,
-                name: fileName,
-                mimetype: "image/png",
-                size: stat.size,
-            },
-        });
-
-        await fs.unlink(tmpPath).catch(() => { });
-
-        return Response.json({ success: true, mediaId: newMedia.id });
-    } catch (e: any) {
-        return Response.json({ success: false, error: e.message }, { status: 500 });
+      if (req.body) body = (await req.json?.()) || {};
+    } catch {
+      /* ignore */
     }
-}
+    const { draftContent, title, instructions } = body;
+    const OPENROUTER_KEY =
+      process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
+    const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
+
+    if (!OPENROUTER_KEY) throw new Error("Missing OPENROUTER_API_KEY in .env");
+    if (!REPLICATE_KEY) throw new Error("Missing REPLICATE_API_KEY in .env");
+
+    const importDynamic = new Function(
+      "modulePath",
+      "return import(modulePath)",
+    );
+    const { AiBlogPostOrchestrator } = await importDynamic(
+      "@mintel/content-engine",
+    );
+    const { ThumbnailGenerator } = await importDynamic(
+      "@mintel/thumbnail-generator",
+    );
+
+    const orchestrator = new AiBlogPostOrchestrator({
+      apiKey: OPENROUTER_KEY,
+      replicateApiKey: REPLICATE_KEY,
+      model: "google/gemini-3-flash-preview",
+    });
+
+    const tg = new ThumbnailGenerator({ replicateApiKey: REPLICATE_KEY });
+
+    const prompt = await orchestrator.generateVisualPrompt(
+      draftContent || title || "Technology",
+      instructions,
+    );
+
+    const tmpPath = path.join(os.tmpdir(), `mintel-thumb-${Date.now()}.png`);
+    await tg.generateImage(prompt, tmpPath);
+
+    const fileData = await fs.readFile(tmpPath);
+    const stat = await fs.stat(tmpPath);
+    const fileName = path.basename(tmpPath);
+
+    const newMedia = await req.payload.create({
+      collection: "media" as any,
+      data: {
+        alt: title ? `Thumbnail for ${title}` : "AI Generated Thumbnail",
+      },
+      file: {
+        data: fileData,
+        name: fileName,
+        mimetype: "image/png",
+        size: stat.size,
+      },
+    });
+
+    await fs.unlink(tmpPath).catch(() => {});
+
+    return Response.json({ success: true, mediaId: newMedia.id });
+  } catch (e: any) {
+    return Response.json({ success: false, error: e.message }, { status: 500 });
+  }
+};
 
 export const generateSingleFieldEndpoint = async (req: PayloadRequest) => {
+  try {
+    let body: any = {};
     try {
-        const { documentTitle, documentContent, fieldName, fieldDescription, instructions } = (await req.json?.() || {}) as any;
+      if (req.body) body = (await req.json?.()) || {};
+    } catch {
+      /* ignore */
+    }
+    const {
+      documentTitle,
+      documentContent,
+      fieldName,
+      fieldDescription,
+      instructions,
+    } = body;
 
-        const OPENROUTER_KEY =
-            process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
-        if (!OPENROUTER_KEY) throw new Error("Missing OPENROUTER_API_KEY");
+    const OPENROUTER_KEY =
+      process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
+    if (!OPENROUTER_KEY) throw new Error("Missing OPENROUTER_API_KEY");
 
-        const contextDocsData = await req.payload.find({
-            collection: "context-files" as any,
-            limit: 100,
-        });
-        const projectContext = contextDocsData.docs
-            .map((doc: any) => `--- ${doc.filename} ---\n${doc.content}`)
-            .join("\n\n");
+    const contextDocsData = await req.payload.find({
+      collection: "context-files" as any,
+      limit: 100,
+    });
+    const projectContext = contextDocsData.docs
+      .map((doc: any) => `--- ${doc.filename} ---\n${doc.content}`)
+      .join("\n\n");
 
-        const prompt = `You are an expert AI assistant perfectly trained for generating exact data values for CMS components.
+    const prompt = `You are an expert AI assistant perfectly trained for generating exact data values for CMS components.
 PROJECT STRATEGY & CONTEXT:
 ${projectContext}
 
@@ -138,21 +169,21 @@ CRITICAL RULES:
 3. If the field implies a diagram or flow, output RAW Mermaid.js code. 
 4. If it's standard text, write professional B2B German. No quotes, no conversational filler.`;
 
-        const res = await fetch("https://openrouter.ai/api/v1/chat/completions", {
-            method: "POST",
-            headers: {
-                Authorization: `Bearer ${OPENROUTER_KEY}`,
-                "Content-Type": "application/json",
-            },
-            body: JSON.stringify({
-                model: "google/gemini-3-flash-preview",
-                messages: [{ role: "user", content: prompt }],
-            }),
-        });
-        const data = await res.json();
-        const text = data.choices?.[0]?.message?.content?.trim() || "";
-        return Response.json({ success: true, text });
-    } catch (e: any) {
-        return Response.json({ success: false, error: e.message }, { status: 500 });
-    }
-}
+    const res = await fetch("https://openrouter.ai/api/v1/chat/completions", {
+      method: "POST",
+      headers: {
+        Authorization: `Bearer ${OPENROUTER_KEY}`,
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({
+        model: "google/gemini-3-flash-preview",
+        messages: [{ role: "user", content: prompt }],
+      }),
+    });
+    const data = await res.json();
+    const text = data.choices?.[0]?.message?.content?.trim() || "";
+    return Response.json({ success: true, text });
+  } catch (e: any) {
+    return Response.json({ success: false, error: e.message }, { status: 500 });
+  }
+};

packages/payload-ai/src/endpoints/optimizeEndpoint.ts

@@ -1,75 +1,108 @@
-import { PayloadRequest } from 'payload'
+import { PayloadRequest } from "payload";
 import { parseMarkdownToLexical } from "../utils/lexicalParser.js";
 
 export const optimizePostEndpoint = async (req: PayloadRequest) => {
+  try {
+    let body: any = {};
     try {
-        const { draftContent, instructions } = (await req.json?.() || {}) as { draftContent: string; instructions?: string };
-
-        if (!draftContent) {
-            return Response.json({ error: 'Missing draftContent' }, { status: 400 })
-        }
-
-        const globalAiSettings = (await req.payload.findGlobal({ slug: "ai-settings" })) as any;
-        const customSources =
-            globalAiSettings?.customSources?.map((s: any) => s.sourceName) || [];
-
-        const OPENROUTER_KEY =
-            process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
-        const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
-
-        if (!OPENROUTER_KEY) {
-            return Response.json({ error: "OPENROUTER_KEY not found in environment." }, { status: 500 })
-        }
-
-        // Dynamically import to avoid bundling it into client components that might accidentally import this file
-        const importDynamic = new Function("modulePath", "return import(modulePath)");
-        const { AiBlogPostOrchestrator } = await importDynamic("@mintel/content-engine");
-
-        const orchestrator = new AiBlogPostOrchestrator({
-            apiKey: OPENROUTER_KEY,
-            replicateApiKey: REPLICATE_KEY,
-            model: "google/gemini-3-flash-preview",
-        });
-
-        const contextDocsData = await req.payload.find({
-            collection: "context-files" as any,
-            limit: 100,
-        });
-        const projectContext = contextDocsData.docs.map((doc: any) => doc.content);
-
-        const optimizedMarkdown = await orchestrator.optimizeDocument({
-            content: draftContent,
-            projectContext,
-            availableComponents: [],
-            instructions,
-            internalLinks: [],
-            customSources,
-        });
-
-        if (!optimizedMarkdown || typeof optimizedMarkdown !== "string") {
-            return Response.json({ error: "AI returned invalid markup." }, { status: 500 })
-        }
-
-        const blocks = parseMarkdownToLexical(optimizedMarkdown);
-
-        return Response.json({
-            success: true,
-            lexicalAST: {
-                root: {
-                    type: "root",
-                    format: "",
-                    indent: 0,
-                    version: 1,
-                    children: blocks,
-                    direction: "ltr",
-                },
-            },
-        })
-    } catch (error: any) {
-        console.error("Failed to optimize post in endpoint:", error);
-        return Response.json({
-            success: false,
-            error: error.message || "An unknown error occurred during optimization.",
-        }, { status: 500 })
+      if (req.body) {
+        // req.json() acts as a method in Next.js/Payload req wrapper
+        body = (await req.json?.()) || {};
+      }
+    } catch (e) {
+      // Ignore JSON parse error, body remains empty
     }
-}
+
+    const { draftContent, instructions } = body as {
+      draftContent?: string;
+      instructions?: string;
+    };
+
+    if (!draftContent) {
+      return Response.json(
+        { success: false, error: "Missing draftContent" },
+        { status: 400 },
+      );
+    }
+
+    const globalAiSettings = (await req.payload.findGlobal({
+      slug: "ai-settings",
+    })) as any;
+    const customSources =
+      globalAiSettings?.customSources?.map((s: any) => s.sourceName) || [];
+
+    const OPENROUTER_KEY =
+      process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
+    const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
+
+    if (!OPENROUTER_KEY) {
+      return Response.json(
+        { error: "OPENROUTER_KEY not found in environment." },
+        { status: 500 },
+      );
+    }
+
+    // Dynamically import to avoid bundling it into client components that might accidentally import this file
+    const importDynamic = new Function(
+      "modulePath",
+      "return import(modulePath)",
+    );
+    const { AiBlogPostOrchestrator } = await importDynamic(
+      "@mintel/content-engine",
+    );
+
+    const orchestrator = new AiBlogPostOrchestrator({
+      apiKey: OPENROUTER_KEY,
+      replicateApiKey: REPLICATE_KEY,
+      model: "google/gemini-3-flash-preview",
+    });
+
+    const contextDocsData = await req.payload.find({
+      collection: "context-files" as any,
+      limit: 100,
+    });
+    const projectContext = contextDocsData.docs.map((doc: any) => doc.content);
+
+    const optimizedMarkdown = await orchestrator.optimizeDocument({
+      content: draftContent,
+      projectContext,
+      availableComponents: [],
+      instructions,
+      internalLinks: [],
+      customSources,
+    });
+
+    if (!optimizedMarkdown || typeof optimizedMarkdown !== "string") {
+      return Response.json(
+        { error: "AI returned invalid markup." },
+        { status: 500 },
+      );
+    }
+
+    const blocks = parseMarkdownToLexical(optimizedMarkdown);
+
+    return Response.json({
+      success: true,
+      lexicalAST: {
+        root: {
+          type: "root",
+          format: "",
+          indent: 0,
+          version: 1,
+          children: blocks,
+          direction: "ltr",
+        },
+      },
+    });
+  } catch (error: any) {
+    console.error("Failed to optimize post in endpoint:", error);
+    return Response.json(
+      {
+        success: false,
+        error:
+          error.message || "An unknown error occurred during optimization.",
+      },
+      { status: 500 },
+    );
+  }
+};

packages/payload-ai/src/tools/mcpAdapter.ts

@@ -1,65 +1,68 @@
-import { Client } from '@modelcontextprotocol/sdk/client/index.js'
-import { SSEClientTransport } from '@modelcontextprotocol/sdk/client/sse.js'
-import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio.js'
-import { tool } from 'ai'
-import { z } from 'zod'
-
+import { Client } from "@modelcontextprotocol/sdk/client/index.js";
+import { SSEClientTransport } from "@modelcontextprotocol/sdk/client/sse.js";
+import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";
+import { tool, jsonSchema } from "ai";
 /**
  * Connects to an external MCP Server and maps its tools to Vercel AI SDK Tools.
  */
-export async function createMcpTools(mcpConfig: { name: string, url?: string, command?: string, args?: string[] }) {
-    let transport
+export async function createMcpTools(mcpConfig: {
+  name: string;
+  url?: string;
+  command?: string;
+  args?: string[];
+}) {
+  let transport;
 
-    // Support both HTTP/SSE and STDIO transports
-    if (mcpConfig.url) {
-        transport = new SSEClientTransport(new URL(mcpConfig.url))
-    } else if (mcpConfig.command) {
-        transport = new StdioClientTransport({
-            command: mcpConfig.command,
-            args: mcpConfig.args || [],
-        })
-    } else {
-        throw new Error('Invalid MCP config: Must provide either URL or Command.')
-    }
+  // Support both HTTP/SSE and STDIO transports
+  if (mcpConfig.url) {
+    transport = new SSEClientTransport(new URL(mcpConfig.url));
+  } else if (mcpConfig.command) {
+    transport = new StdioClientTransport({
+      command: mcpConfig.command,
+      args: mcpConfig.args || [],
+    });
+  } else {
+    throw new Error("Invalid MCP config: Must provide either URL or Command.");
+  }
 
-    const client = new Client(
-        { name: `payload-ai-client-${mcpConfig.name}`, version: '1.0.0' },
-        { capabilities: {} }
-    )
+  const client = new Client(
+    { name: `payload-ai-client-${mcpConfig.name}`, version: "1.0.0" },
+    { capabilities: {} },
+  );
 
-    await client.connect(transport)
+  await client.connect(transport);
 
-    // Fetch available tools from the external MCP server
-    const toolListResult = await client.listTools()
-    const externalTools = toolListResult.tools || []
+  // Fetch available tools from the external MCP server
+  const toolListResult = await client.listTools();
+  const externalTools = toolListResult.tools || [];
 
-    const aiSdkTools: Record<string, any> = {}
+  const aiSdkTools: Record<string, any> = {};
 
-    // Map each external tool to a Vercel AI SDK Tool
-    for (const extTool of externalTools) {
-        // Basic conversion of JSON Schema to Zod for the AI SDK
-        // Note: For a production ready adapter, you might need a more robust jsonSchemaToZod converter
-        // or use AI SDK's new experimental generateSchema feature if available.
-        // Here we use a generic `z.any()` as a fallback since AI SDK requires a Zod schema.
-        const toolSchema = extTool.inputSchema as Record<string, any>
+  // Map each external tool to a Vercel AI SDK Tool
+  for (const extTool of externalTools) {
+    // Basic conversion of JSON Schema to Zod for the AI SDK
+    // Note: For a production ready adapter, you might need a more robust jsonSchemaToZod converter
+    // or use AI SDK's new experimental generateSchema feature if available.
+    // Here we use a generic `z.any()` as a fallback since AI SDK requires a Zod schema.
+    const toolSchema = extTool.inputSchema as Record<string, any>;
 
-        // We create a simplified parameter parser. 
-        // An ideal approach uses `jsonSchemaToZod` library or native AI SDK JSON schema support
-        // (introduced recently in `ai` package). 
+    // We create a simplified parameter parser.
+    // An ideal approach uses `jsonSchemaToZod` library or native AI SDK JSON schema support
+    // (introduced recently in `ai` package).
 
-        aiSdkTools[`${mcpConfig.name}_${extTool.name}`] = tool({
-            description: `[From ${mcpConfig.name}] ${extTool.description || extTool.name}`,
-            parameters: z.any().describe('JSON matching the original MCP input_schema'), // Simplify for prototype
-            // @ts-ignore - AI strict mode overload bug with implicit zod inferences
-            execute: async (args: any) => {
-                const result = await client.callTool({
-                    name: extTool.name,
-                    arguments: args
-                })
-                return result
-            }
-        })
-    }
+    aiSdkTools[`${mcpConfig.name}_${extTool.name}`] = tool({
+      description: `[From ${mcpConfig.name}] ${extTool.description || extTool.name}`,
+      parameters: jsonSchema(toolSchema as any),
+      // @ts-expect-error - AI strict mode overload bug with implicit zod inferences
+      execute: async (args: any) => {
+        const result = await client.callTool({
+          name: extTool.name,
+          arguments: args,
+        });
+        return result;
+      },
+    });
+  }
 
-    return { tools: aiSdkTools, client }
+  return { tools: aiSdkTools, client };
 }

packages/payload-ai/src/tools/memoryDb.ts

@@ -1,37 +1,39 @@
-import { tool } from 'ai'
-import { z } from 'zod'
-import { QdrantClient } from '@qdrant/js-client-rest'
+import { tool } from "ai";
+import { z } from "zod";
+import { QdrantClient } from "@qdrant/js-client-rest";
 
 // Qdrant initialization
 // This requires the user to have Qdrant running and QDRANT_URL/QDRANT_API_KEY environment variables set
 const qdrantClient = new QdrantClient({
-    url: process.env.QDRANT_URL || 'http://localhost:6333',
-    apiKey: process.env.QDRANT_API_KEY,
-})
+  url: process.env.QDRANT_URL || "http://localhost:6333",
+  apiKey: process.env.QDRANT_API_KEY,
+});
 
-const MEMORY_COLLECTION = 'mintel_ai_memory'
+const MEMORY_COLLECTION = "mintel_ai_memory";
 
 // Ensure collection exists on load
 async function initQdrant() {
-    try {
-        const res = await qdrantClient.getCollections()
-        const exists = res.collections.find((c: any) => c.name === MEMORY_COLLECTION)
-        if (!exists) {
-            await qdrantClient.createCollection(MEMORY_COLLECTION, {
-                vectors: {
-                    size: 1536, // typical embedding size, adjust based on the embedding model used
-                    distance: 'Cosine',
-                },
-            })
-            console.log(`Qdrant collection '${MEMORY_COLLECTION}' created.`)
-        }
-    } catch (error) {
-        console.error('Failed to initialize Qdrant memory collection:', error)
+  try {
+    const res = await qdrantClient.getCollections();
+    const exists = res.collections.find(
+      (c: any) => c.name === MEMORY_COLLECTION,
+    );
+    if (!exists) {
+      await qdrantClient.createCollection(MEMORY_COLLECTION, {
+        vectors: {
+          size: 1536, // typical embedding size, adjust based on the embedding model used
+          distance: "Cosine",
+        },
+      });
+      console.log(`Qdrant collection '${MEMORY_COLLECTION}' created.`);
     }
+  } catch (error) {
+    console.error("Failed to initialize Qdrant memory collection:", error);
+  }
 }
 
 // Call init, but don't block
-initQdrant()
+initQdrant();
 
 /**
  * Returns memory tools for the AI SDK.
@@ -40,76 +42,99 @@ initQdrant()
  * by a utility function, or we use Qdrant's FastEmbed (if running their specialized container).
  */
 export const generateMemoryTools = (userId: string | number) => {
-    return {
-        save_memory: tool({
-            description: 'Save an important preference, fact, or instruction about the user to long-term memory. Only use this when explicitly asked or when it is clearly a long-term preference.',
-            parameters: z.object({
-                fact: z.string().describe('The fact or instruction to remember.'),
-                category: z.string().optional().describe('An optional category like "preference", "rule", or "project_detail".'),
-            }),
-            // @ts-ignore - AI SDK strict mode bug
-            execute: async ({ fact, category }: { fact: string; category?: string }) => {
-                // In a real scenario, you MUST generate embeddings for the 'fact' string here
-                // using OpenAI or another embedding provider before inserting into Qdrant.
-                // const embedding = await generateEmbedding(fact)
+  return {
+    save_memory: tool({
+      description:
+        "Save an important preference, fact, or instruction about the user to long-term memory. Only use this when explicitly asked or when it is clearly a long-term preference.",
+      parameters: z.object({
+        fact: z.string().describe("The fact or instruction to remember."),
+        category: z
+          .string()
+          .optional()
+          .describe(
+            'An optional category like "preference", "rule", or "project_detail".',
+          ),
+      }),
+      // @ts-expect-error - AI SDK strict mode bug
+      execute: async ({
+        fact,
+        category,
+      }: {
+        fact: string;
+        category?: string;
+      }) => {
+        // In a real scenario, you MUST generate embeddings for the 'fact' string here
+        // using OpenAI or another embedding provider before inserting into Qdrant.
+        // const embedding = await generateEmbedding(fact)
 
-                try {
-                    // Mock embedding payload for demonstration
-                    const mockEmbedding = new Array(1536).fill(0).map(() => Math.random())
+        try {
+          // Mock embedding payload for demonstration
+          const mockEmbedding = new Array(1536)
+            .fill(0)
+            .map(() => Math.random());
 
-                    await qdrantClient.upsert(MEMORY_COLLECTION, {
-                        wait: true,
-                        points: [
-                            {
-                                id: crypto.randomUUID(),
-                                vector: mockEmbedding,
-                                payload: {
-                                    userId: String(userId), // Partition memory by user
-                                    fact,
-                                    category,
-                                    createdAt: new Date().toISOString(),
-                                },
-                            },
-                        ],
-                    })
-                    return { success: true, message: `Successfully remembered: "${fact}"` }
-                } catch (error) {
-                    console.error("Qdrant save error:", error)
-                    return { success: false, error: 'Failed to save to memory database.' }
-                }
+          await qdrantClient.upsert(MEMORY_COLLECTION, {
+            wait: true,
+            points: [
+              {
+                id: crypto.randomUUID(),
+                vector: mockEmbedding,
+                payload: {
+                  userId: String(userId), // Partition memory by user
+                  fact,
+                  category,
+                  createdAt: new Date().toISOString(),
+                },
+              },
+            ],
+          });
+          return {
+            success: true,
+            message: `Successfully remembered: "${fact}"`,
+          };
+        } catch (error) {
+          console.error("Qdrant save error:", error);
+          return {
+            success: false,
+            error: "Failed to save to memory database.",
+          };
+        }
+      },
+    }),
+
+    search_memory: tool({
+      description:
+        "Search the user's long-term memory for past factual context, preferences, or rules.",
+      parameters: z.object({
+        query: z.string().describe("The search string to find in memory."),
+      }),
+      // @ts-expect-error - AI SDK strict mode bug
+      execute: async ({ query }: { query: string }) => {
+        // Generate embedding for query
+        const mockQueryEmbedding = new Array(1536)
+          .fill(0)
+          .map(() => Math.random());
+
+        try {
+          const results = await qdrantClient.search(MEMORY_COLLECTION, {
+            vector: mockQueryEmbedding,
+            limit: 5,
+            filter: {
+              must: [
+                {
+                  key: "userId",
+                  match: { value: String(userId) },
+                },
+              ],
             },
-        }),
+          });
 
-        search_memory: tool({
-            description: 'Search the user\'s long-term memory for past factual context, preferences, or rules.',
-            parameters: z.object({
-                query: z.string().describe('The search string to find in memory.'),
-            }),
-            // @ts-ignore - AI SDK strict mode bug
-            execute: async ({ query }: { query: string }) => {
-                // Generate embedding for query
-                const mockQueryEmbedding = new Array(1536).fill(0).map(() => Math.random())
-
-                try {
-                    const results = await qdrantClient.search(MEMORY_COLLECTION, {
-                        vector: mockQueryEmbedding,
-                        limit: 5,
-                        filter: {
-                            must: [
-                                {
-                                    key: 'userId',
-                                    match: { value: String(userId) }
-                                }
-                            ]
-                        }
-                    })
-
-                    return results.map((r: any) => r.payload?.fact || '')
-                } catch (error) {
-                    console.error("Qdrant search error:", error)
-                    return []
-                }
-            }
-        })
-    }
-}
+          return results.map((r: any) => r.payload?.fact || "");
+        } catch (error) {
+          console.error("Qdrant search error:", error);
+          return [];
+        }
+      },
+    }),
+  };
+};

packages/payload-ai/src/tools/payloadLocal.ts

@@ -1,107 +1,137 @@
-import { tool } from 'ai'
-import { z } from 'zod'
-import type { Payload, PayloadRequest, User } from 'payload'
+import { tool } from "ai";
+import { z } from "zod";
+import type { Payload, PayloadRequest, User } from "payload";
 
 export const generatePayloadLocalTools = (
-    payload: Payload,
-    req: PayloadRequest,
-    allowedCollections: string[]
+  payload: Payload,
+  req: PayloadRequest,
+  allowedCollections: string[],
 ) => {
-    const tools: Record<string, any> = {}
+  const tools: Record<string, any> = {};
 
-    for (const collectionSlug of allowedCollections) {
-        const slugKey = collectionSlug.replace(/-/g, '_')
+  for (const collectionSlug of allowedCollections) {
+    const slugKey = collectionSlug.replace(/-/g, "_");
 
-        // 1. Read (Find) Tool
-        tools[`read_${slugKey}`] = tool({
-            description: `Read/Find documents from the Payload CMS collection: ${collectionSlug}`,
-            parameters: z.object({
-                limit: z.number().optional().describe('Number of documents to return, max 100.'),
-                page: z.number().optional().describe('Page number for pagination.'),
-                // Simple string-based query for demo purposes. For a robust implementation,
-                // we'd map this to Payload's where query logic using a structured Zod schema.
-                query: z.string().optional().describe('Optional text to search within the collection.'),
-            }),
-            // @ts-ignore - AI SDK strict mode type inference bug
-            execute: async ({ limit = 10, page = 1, query }: { limit?: number; page?: number; query?: string }) => {
-                const where = query ? { id: { equals: query } } : undefined // Placeholder logic
+    // 1. Read (Find) Tool
+    tools[`read_${slugKey}`] = tool({
+      description: `Read/Find documents from the Payload CMS collection: ${collectionSlug}`,
+      parameters: z.object({
+        limit: z
+          .number()
+          .optional()
+          .describe("Number of documents to return, max 100."),
+        page: z.number().optional().describe("Page number for pagination."),
+        // Simple string-based query for demo purposes. For a robust implementation,
+        // we'd map this to Payload's where query logic using a structured Zod schema.
+        query: z
+          .string()
+          .optional()
+          .describe("Optional text to search within the collection."),
+      }),
+      // @ts-expect-error - AI SDK strict mode type inference bug
+      execute: async ({
+        limit = 10,
+        page = 1,
+        query,
+      }: {
+        limit?: number;
+        page?: number;
+        query?: string;
+      }) => {
+        const where = query ? { id: { equals: query } } : undefined; // Placeholder logic
 
-                return await payload.find({
-                    collection: collectionSlug as any,
-                    limit: Math.min(limit, 100),
-                    page,
-                    where,
-                    req, // Crucial for passing the user context and respecting access control!
-                })
-            },
-        })
+        return await payload.find({
+          collection: collectionSlug as any,
+          limit: Math.min(limit, 100),
+          page,
+          where,
+          req, // Crucial for passing the user context and respecting access control!
+        });
+      },
+    });
 
-        // 2. Read by ID Tool
-        tools[`read_${slugKey}_by_id`] = tool({
-            description: `Get a specific document by its ID from the ${collectionSlug} collection.`,
-            parameters: z.object({
-                id: z.union([z.string(), z.number()]).describe('The ID of the document.'),
-            }),
-            // @ts-ignore - AI SDK strict mode type inference bug
-            execute: async ({ id }: { id: string | number }) => {
-                return await payload.findByID({
-                    collection: collectionSlug as any,
-                    id,
-                    req, // Enforce access control
-                })
-            },
-        })
+    // 2. Read by ID Tool
+    tools[`read_${slugKey}_by_id`] = tool({
+      description: `Get a specific document by its ID from the ${collectionSlug} collection.`,
+      parameters: z.object({
+        id: z
+          .union([z.string(), z.number()])
+          .describe("The ID of the document."),
+      }),
+      // @ts-expect-error - AI SDK strict mode type inference bug
+      execute: async ({ id }: { id: string | number }) => {
+        return await payload.findByID({
+          collection: collectionSlug as any,
+          id,
+          req, // Enforce access control
+        });
+      },
+    });
 
-        // 3. Create Tool
-        tools[`create_${slugKey}`] = tool({
-            description: `Create a new document in the ${collectionSlug} collection.`,
-            parameters: z.object({
-                data: z.record(z.any()).describe('A JSON object containing the data to insert.'),
-            }),
-            // @ts-ignore - AI SDK strict mode type inference bug
-            execute: async ({ data }: { data: Record<string, any> }) => {
-                return await payload.create({
-                    collection: collectionSlug as any,
-                    data,
-                    req, // Enforce access control
-                })
-            },
-        })
+    // 3. Create Tool
+    tools[`create_${slugKey}`] = tool({
+      description: `Create a new document in the ${collectionSlug} collection.`,
+      parameters: z.object({
+        data: z
+          .record(z.any())
+          .describe("A JSON object containing the data to insert."),
+      }),
+      // @ts-expect-error - AI SDK strict mode type inference bug
+      execute: async ({ data }: { data: Record<string, any> }) => {
+        return await payload.create({
+          collection: collectionSlug as any,
+          data,
+          req, // Enforce access control
+        });
+      },
+    });
 
-        // 4. Update Tool
-        tools[`update_${slugKey}`] = tool({
-            description: `Update an existing document in the ${collectionSlug} collection.`,
-            parameters: z.object({
-                id: z.union([z.string(), z.number()]).describe('The ID of the document to update.'),
-                data: z.record(z.any()).describe('A JSON object containing the fields to update.'),
-            }),
-            // @ts-ignore - AI SDK strict mode type inference bug
-            execute: async ({ id, data }: { id: string | number; data: Record<string, any> }) => {
-                return await payload.update({
-                    collection: collectionSlug as any,
-                    id,
-                    data,
-                    req, // Enforce access control
-                })
-            },
-        })
+    // 4. Update Tool
+    tools[`update_${slugKey}`] = tool({
+      description: `Update an existing document in the ${collectionSlug} collection.`,
+      parameters: z.object({
+        id: z
+          .union([z.string(), z.number()])
+          .describe("The ID of the document to update."),
+        data: z
+          .record(z.any())
+          .describe("A JSON object containing the fields to update."),
+      }),
+      // @ts-expect-error - AI SDK strict mode type inference bug
+      execute: async ({
+        id,
+        data,
+      }: {
+        id: string | number;
+        data: Record<string, any>;
+      }) => {
+        return await payload.update({
+          collection: collectionSlug as any,
+          id,
+          data,
+          req, // Enforce access control
+        });
+      },
+    });
 
-        // 5. Delete Tool
-        tools[`delete_${slugKey}`] = tool({
-            description: `Delete a document from the ${collectionSlug} collection by ID.`,
-            parameters: z.object({
-                id: z.union([z.string(), z.number()]).describe('The ID of the document to delete.'),
-            }),
-            // @ts-ignore - AI SDK strict mode type inference bug
-            execute: async ({ id }: { id: string | number }) => {
-                return await payload.delete({
-                    collection: collectionSlug as any,
-                    id,
-                    req, // Enforce access control
-                })
-            },
-        })
-    }
+    // 5. Delete Tool
+    tools[`delete_${slugKey}`] = tool({
+      description: `Delete a document from the ${collectionSlug} collection by ID.`,
+      parameters: z.object({
+        id: z
+          .union([z.string(), z.number()])
+          .describe("The ID of the document to delete."),
+      }),
+      // @ts-expect-error - AI SDK strict mode type inference bug
+      execute: async ({ id }: { id: string | number }) => {
+        return await payload.delete({
+          collection: collectionSlug as any,
+          id,
+          req, // Enforce access control
+        });
+      },
+    });
+  }
 
-    return tools
-}
+  return tools;
+};

packages/pdf-library/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/pdf",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "type": "module",
   "main": "dist/index.js",
   "module": "dist/index.js",

packages/seo-engine/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/seo-engine",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "description": "AI-powered SEO keyword and topic cluster evaluation engine",
   "type": "module",
   "main": "./dist/index.js",

packages/serpbear-mcp/Dockerfile

@@ -0,0 +1,15 @@
+FROM node:20-bookworm-slim AS builder
+WORKDIR /app
+COPY package.json ./
+RUN npm install -g pnpm@10.18.3 && pnpm install --ignore-workspace
+COPY tsconfig.json ./
+COPY src ./src
+RUN pnpm build
+
+FROM node:20-bookworm-slim
+WORKDIR /app
+COPY --from=builder /app/package.json ./
+COPY --from=builder /app/node_modules ./node_modules
+COPY --from=builder /app/dist ./dist
+
+ENTRYPOINT ["node", "dist/start.js"]

packages/serpbear-mcp/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/serpbear-mcp",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "description": "SerpBear SEO Tracking MCP server for Mintel infrastructure",
   "main": "dist/index.js",
   "type": "module",
@@ -13,13 +13,12 @@
     "@modelcontextprotocol/sdk": "^1.5.0",
     "axios": "^1.7.2",
     "dotenv": "^17.3.1",
-    "express": "^5.2.1",
-    "zod": "^3.23.8"
+    "express": "^4.19.2"
   },
   "devDependencies": {
-    "@types/express": "^5.0.6",
+    "@types/express": "^4.17.21",
     "@types/node": "^20.14.10",
-    "typescript": "^5.5.3",
-    "tsx": "^4.19.2"
+    "tsx": "^4.19.2",
+    "typescript": "^5.5.3"
   }
 }

packages/serpbear-mcp/src/index.ts

@@ -1,6 +1,7 @@
 import { Server } from "@modelcontextprotocol/sdk/server/index.js";
 import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
 import express from 'express';
+import crypto from 'crypto';
 import {
     CallToolRequestSchema,
     ListToolsRequestSchema,
@@ -18,10 +19,28 @@ if (!SERPBEAR_API_KEY) {
 
 const serpbearClient = axios.create({
     baseURL: `${SERPBEAR_BASE_URL}/api`,
-    headers: { apiKey: SERPBEAR_API_KEY },
+    headers: { 'x-api-key': SERPBEAR_API_KEY || '' },
     httpsAgent: new https.Agent({
         rejectUnauthorized: false,
     }),
+    timeout: 10000
+});
+
+// Logging middleware for SerpBear client
+serpbearClient.interceptors.request.use((config) => {
+    console.error(`SerpBear Request: ${config.method?.toUpperCase()} ${config.url}`);
+    return config;
+}, (error) => {
+    console.error(`SerpBear Request Error: ${error.message}`);
+    return Promise.reject(error);
+});
+
+serpbearClient.interceptors.response.use((response) => {
+    return response;
+}, (error) => {
+    const msg = error.response?.data?.error || error.response?.data?.message || error.message;
+    console.error(`SerpBear API Error (${error.config?.url}): ${msg}`);
+    return Promise.reject(error);
 });
 
 
@@ -125,21 +144,17 @@ server.setRequestHandler(ListToolsRequestSchema, async () => ({
 }));
 
 server.setRequestHandler(CallToolRequestSchema, async (request) => {
-    if (request.params.name === "serpbear_list_domains") {
-        try {
+    try {
+        if (request.params.name === "serpbear_list_domains") {
             const res = await serpbearClient.get('/domains');
             const domains = (res.data.domains || []).map((d: any) => ({
                 id: d.id, domain: d.domain, keywords: d.keywordCount
             }));
             return { content: [{ type: "text", text: JSON.stringify(domains, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    if (request.params.name === "serpbear_get_keywords") {
-        const { domain_id } = request.params.arguments as any;
-        try {
+        if (request.params.name === "serpbear_get_keywords") {
+            const { domain_id } = request.params.arguments as any;
             const res = await serpbearClient.get('/keywords', { params: { domain: domain_id } });
             const keywords = (res.data.keywords || []).map((k: any) => ({
                 id: k.id,
@@ -151,55 +166,40 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => {
                 change: k.position_change ?? null,
             }));
             return { content: [{ type: "text", text: JSON.stringify(keywords, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    if (request.params.name === "serpbear_add_keywords") {
-        const { domain_id, keywords, country = 'de', device = 'desktop' } = request.params.arguments as any;
-        try {
+        if (request.params.name === "serpbear_add_keywords") {
+            const { domain_id, keywords, country = 'de', device = 'desktop' } = request.params.arguments as any;
             const res = await serpbearClient.post('/keywords', {
                 domain: domain_id,
                 keywords: keywords.map((kw: string) => ({ keyword: kw, country, device })),
             });
             return { content: [{ type: "text", text: `Added ${keywords.length} keywords. Result: ${JSON.stringify(res.data)}` }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    if (request.params.name === "serpbear_delete_keywords") {
-        const { keyword_ids } = request.params.arguments as any;
-        try {
+        if (request.params.name === "serpbear_delete_keywords") {
+            const { keyword_ids } = request.params.arguments as any;
             await serpbearClient.delete('/keywords', { data: { ids: keyword_ids } });
             return { content: [{ type: "text", text: `Deleted ${keyword_ids.length} keywords.` }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    if (request.params.name === "serpbear_refresh_keywords") {
-        const { keyword_ids } = request.params.arguments as any;
-        try {
+        if (request.params.name === "serpbear_refresh_keywords") {
+            const { keyword_ids } = request.params.arguments as any;
             await serpbearClient.post('/keywords/refresh', { ids: keyword_ids });
             return { content: [{ type: "text", text: `Triggered refresh for ${keyword_ids.length} keywords.` }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    if (request.params.name === "serpbear_get_keyword_history") {
-        const { keyword_id } = request.params.arguments as any;
-        try {
+        if (request.params.name === "serpbear_get_keyword_history") {
+            const { keyword_id } = request.params.arguments as any;
             const res = await serpbearClient.get(`/keywords/${keyword_id}/history`);
             return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
         }
-    }
 
-    throw new Error(`Unknown tool: ${request.params.name}`);
+        throw new Error(`Unknown tool: ${request.params.name}`);
+    } catch (e: any) {
+        const msg = e.response?.data?.error || e.response?.data?.message || e.message;
+        return { isError: true, content: [{ type: "text", text: `SerpBear Service Error: ${msg}` }] };
+    }
 });
 
 // --- Express / SSE Server ---
@@ -213,25 +213,65 @@ async function run() {
         console.error('SerpBear MCP server is running on stdio');
     } else {
         const app = express();
-        let transport: SSEServerTransport | null = null;
+        const transports = new Map<string, SSEServerTransport>();
 
-        app.get('/sse', async (req, res) => {
-            console.error('New SSE connection established');
-            transport = new SSEServerTransport('/message', res);
-            await server.connect(transport);
+        // Manual CORS middleware
+        app.use((req, res, next) => {
+            res.setHeader('Access-Control-Allow-Origin', '*');
+            res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS');
+            res.setHeader('Access-Control-Allow-Headers', 'Content-Type, Authorization, x-mcp-protocol-version');
+            if (req.method === 'OPTIONS') {
+                res.status(204).end();
+                return;
+            }
+            next();
         });
 
-        app.post('/message', async (req, res) => {
+        app.use((req, _res, next) => {
+            console.error(`${req.method} ${req.url}`);
+            next();
+        });
+
+        app.get('/sse', async (req, res) => {
+            const transport = new SSEServerTransport('/message', res as any);
+            const sessionId = transport.sessionId;
+            console.error(`New SSE connection: ${sessionId}`);
+            transports.set(sessionId, transport);
+
+            const heartbeatInterval = setInterval(() => {
+                res.write(": heartbeat\n\n");
+            }, 15000);
+
+            req.on('close', () => {
+                console.error(`SSE connection closed: ${sessionId}`);
+                clearInterval(heartbeatInterval);
+                transports.delete(sessionId);
+            });
+
+            await server.connect(transport);
+            
+            await new Promise((resolve) => {
+                req.on('close', resolve);
+            });
+        });
+
+        app.post('/message', express.json(), async (req, res) => {
+            const sessionId = req.query.sessionId as string;
+            const transport = transports.get(sessionId);
+
+            console.error(`POST /message/${sessionId} - Active transports: ${transports.size}`);
+
             if (!transport) {
-                res.status(400).send('No active SSE connection');
+                console.error(`No transport found for session: ${sessionId}`);
+                res.status(400).send('No active SSE connection for this session');
                 return;
             }
             await transport.handlePostMessage(req, res);
         });
 
-        const PORT = process.env.SERPBEAR_MCP_PORT || 3004;
-        app.listen(PORT, () => {
-            console.error(`SerpBear MCP server running on http://localhost:${PORT}/sse`);
+        const PORT = Number(process.env.SERPBEAR_MCP_PORT) || 3004;
+        app.listen(PORT, '0.0.0.0', () => {
+            console.error(`SerpBear MCP server running on http://0.0.0.0:${PORT}/sse`);
         });
     }
 }

packages/serpbear-mcp/src/start.ts

@@ -4,8 +4,8 @@ import { fileURLToPath } from 'url';
 
 const __dirname = fileURLToPath(new URL('.', import.meta.url));
 
-config({ path: resolve(__dirname, '../../../.env.local') });
-config({ path: resolve(__dirname, '../../../.env') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env.local') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env') });
 
 import('./index.js').catch(err => {
     console.error('Failed to start SerpBear MCP Server:', err);

packages/thumbnail-generator/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/thumbnail-generator",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "private": false,
   "type": "module",
   "main": "./dist/index.js",

packages/tsconfig/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/tsconfig",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "publishConfig": {
     "access": "public",
     "registry": "https://git.infra.mintel.me/api/packages/mmintel/npm"

packages/umami-mcp/Dockerfile

@@ -0,0 +1,15 @@
+FROM node:20-bookworm-slim AS builder
+WORKDIR /app
+COPY package.json ./
+RUN npm install -g pnpm@10.18.3 && pnpm install --ignore-workspace
+COPY tsconfig.json ./
+COPY src ./src
+RUN pnpm build
+
+FROM node:20-bookworm-slim
+WORKDIR /app
+COPY --from=builder /app/package.json ./
+COPY --from=builder /app/node_modules ./node_modules
+COPY --from=builder /app/dist ./dist
+
+ENTRYPOINT ["node", "dist/start.js"]

packages/umami-mcp/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/umami-mcp",
-  "version": "1.9.16",
+  "version": "1.9.17",
   "description": "Umami Analytics MCP server for Mintel infrastructure",
   "main": "dist/index.js",
   "type": "module",
@@ -13,13 +13,12 @@
     "@modelcontextprotocol/sdk": "^1.5.0",
     "axios": "^1.7.2",
     "dotenv": "^17.3.1",
-    "express": "^5.2.1",
-    "zod": "^3.23.8"
+    "express": "^4.19.2"
   },
   "devDependencies": {
-    "@types/express": "^5.0.6",
+    "@types/express": "^4.17.21",
     "@types/node": "^20.14.10",
-    "typescript": "^5.5.3",
-    "tsx": "^4.19.2"
+    "tsx": "^4.19.2",
+    "typescript": "^5.5.3"
   }
 }

packages/umami-mcp/src/index.ts

@@ -1,6 +1,7 @@
 import { Server } from "@modelcontextprotocol/sdk/server/index.js";
 import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
 import express from 'express';
+import crypto from 'crypto';
 import {
     CallToolRequestSchema,
     ListToolsRequestSchema,
@@ -26,17 +27,28 @@ if (!UMAMI_USERNAME && !UMAMI_API_KEY) {
 let cachedToken: string | null = null;
 
 async function getAuthHeaders(): Promise<Record<string, string>> {
-    if (UMAMI_API_KEY) {
-        return { 'x-umami-api-key': UMAMI_API_KEY };
+    try {
+        if (UMAMI_API_KEY) {
+            return { 'x-umami-api-key': UMAMI_API_KEY };
+        }
+        if (!cachedToken) {
+            console.error(`Attempting Umami login for ${UMAMI_USERNAME} at ${UMAMI_BASE_URL}`);
+            const res = await axios.post(`${UMAMI_BASE_URL}/api/auth/login`, {
+                username: UMAMI_USERNAME,
+                password: UMAMI_PASSWORD,
+            }, { 
+                httpsAgent,
+                timeout: 5000 // Add timeout to prevent hangs
+            });
+            cachedToken = res.data.token;
+            console.error("Umami login successful");
+        }
+        return { Authorization: `Bearer ${cachedToken}` };
+    } catch (e: any) {
+        const msg = e.response?.data?.message || e.message;
+        console.error(`Umami Auth Error: ${msg}`);
+        throw new Error(`Authentication failed: ${msg}`);
     }
-    if (!cachedToken) {
-        const res = await axios.post(`${UMAMI_BASE_URL}/api/auth/login`, {
-            username: UMAMI_USERNAME,
-            password: UMAMI_PASSWORD,
-        }, { httpsAgent });
-        cachedToken = res.data.token;
-    }
-    return { Authorization: `Bearer ${cachedToken}` };
 }
 
 
@@ -152,92 +164,72 @@ server.setRequestHandler(ListToolsRequestSchema, async () => ({
 }));
 
 server.setRequestHandler(CallToolRequestSchema, async (request) => {
-    const headers = await getAuthHeaders();
-    const api = axios.create({ baseURL: `${UMAMI_BASE_URL}/api`, headers, httpsAgent });
-
-    const now = Date.now();
+    try {
+        const headers = await getAuthHeaders();
+        const api = axios.create({ baseURL: `${UMAMI_BASE_URL}/api`, headers, httpsAgent, timeout: 10000 });
+        const now = Date.now();
 
     if (request.params.name === "umami_list_websites") {
-        try {
-            const res = await api.get('/websites');
-            const sites = (res.data.data || res.data || []).map((s: any) => ({
-                id: s.id, name: s.name, domain: s.domain
-            }));
-            return { content: [{ type: "text", text: JSON.stringify(sites, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
-        }
+        const res = await api.get('/websites');
+        const sites = (res.data.data || res.data || []).map((s: any) => ({
+            id: s.id, name: s.name, domain: s.domain
+        }));
+        return { content: [{ type: "text", text: JSON.stringify(sites, null, 2) }] };
     }
 
     if (request.params.name === "umami_get_website_stats") {
         const { website_id, start_at, end_at = now } = request.params.arguments as any;
-        try {
-            const res = await api.get(`/websites/${website_id}/stats`, { params: { startAt: start_at, endAt: end_at } });
-            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
-        }
+        const res = await api.get(`/websites/${website_id}/stats`, { params: { startAt: start_at, endAt: end_at } });
+        return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
     }
 
     if (request.params.name === "umami_get_pageviews") {
         const { website_id, start_at, end_at = now, unit = 'day', timezone = 'Europe/Berlin' } = request.params.arguments as any;
-        try {
-            const res = await api.get(`/websites/${website_id}/pageviews`, {
-                params: { startAt: start_at, endAt: end_at, unit, timezone }
-            });
-            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
-        }
+        const res = await api.get(`/websites/${website_id}/pageviews`, {
+            params: { startAt: start_at, endAt: end_at, unit, timezone }
+        });
+        return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
     }
 
     if (request.params.name === "umami_get_top_pages") {
         const { website_id, start_at, end_at = now, limit = 20 } = request.params.arguments as any;
-        try {
-            const res = await api.get(`/websites/${website_id}/metrics`, {
-                params: { startAt: start_at, endAt: end_at, type: 'url', limit }
-            });
-            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
-        }
+        const res = await api.get(`/websites/${website_id}/metrics`, {
+            params: { startAt: start_at, endAt: end_at, type: 'url', limit }
+        });
+        return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
     }
 
     if (request.params.name === "umami_get_top_referrers") {
         const { website_id, start_at, end_at = now, limit = 10 } = request.params.arguments as any;
-        try {
-            const res = await api.get(`/websites/${website_id}/metrics`, {
-                params: { startAt: start_at, endAt: end_at, type: 'referrer', limit }
-            });
-            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
-        }
+        const res = await api.get(`/websites/${website_id}/metrics`, {
+            params: { startAt: start_at, endAt: end_at, type: 'referrer', limit }
+        });
+        return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
     }
 
     if (request.params.name === "umami_get_country_stats") {
         const { website_id, start_at, end_at = now } = request.params.arguments as any;
-        try {
-            const res = await api.get(`/websites/${website_id}/metrics`, {
-                params: { startAt: start_at, endAt: end_at, type: 'country' }
-            });
-            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
-        }
+        const res = await api.get(`/websites/${website_id}/metrics`, {
+            params: { startAt: start_at, endAt: end_at, type: 'country' }
+        });
+        return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
     }
 
     if (request.params.name === "umami_get_active_visitors") {
         const { website_id } = request.params.arguments as any;
-        try {
-            const res = await api.get(`/websites/${website_id}/active`);
-            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
-        } catch (e: any) {
-            return { isError: true, content: [{ type: "text", text: `Error: ${e.message}` }] };
-        }
+        const res = await api.get(`/websites/${website_id}/active`);
+        return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
     }
 
     throw new Error(`Unknown tool: ${request.params.name}`);
+
+
+    } catch (e: any) {
+        return { 
+            isError: true, 
+            content: [{ type: "text", text: `MCP Service Error: ${e.message}` }] 
+        };
+    }
 });
 
 // --- Express / SSE Server ---
@@ -251,25 +243,65 @@ async function run() {
         console.error('Umami MCP server is running on stdio');
     } else {
         const app = express();
-        let transport: SSEServerTransport | null = null;
+        const transports = new Map<string, SSEServerTransport>();
 
-        app.get('/sse', async (req, res) => {
-            console.error('New SSE connection established');
-            transport = new SSEServerTransport('/message', res);
-            await server.connect(transport);
+        // Manual CORS middleware
+        app.use((req, res, next) => {
+            res.setHeader('Access-Control-Allow-Origin', '*');
+            res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS');
+            res.setHeader('Access-Control-Allow-Headers', 'Content-Type, Authorization, x-mcp-protocol-version');
+            if (req.method === 'OPTIONS') {
+                res.status(204).end();
+                return;
+            }
+            next();
         });
 
-        app.post('/message', async (req, res) => {
+        app.use((req, _res, next) => {
+            console.error(`${req.method} ${req.url}`);
+            next();
+        });
+
+        app.get('/sse', async (req, res) => {
+            const transport = new SSEServerTransport('/message', res as any);
+            const sessionId = transport.sessionId;
+            console.error(`New SSE connection: ${sessionId}`);
+            transports.set(sessionId, transport);
+
+            const heartbeatInterval = setInterval(() => {
+                res.write(": heartbeat\n\n");
+            }, 15000);
+
+            req.on('close', () => {
+                console.error(`SSE connection closed: ${sessionId}`);
+                clearInterval(heartbeatInterval);
+                transports.delete(sessionId);
+            });
+
+            await server.connect(transport);
+            
+            await new Promise((resolve) => {
+                req.on('close', resolve);
+            });
+        });
+
+        app.post('/message', express.json(), async (req, res) => {
+            const sessionId = req.query.sessionId as string;
+            const transport = transports.get(sessionId);
+
+            console.error(`POST /message/${sessionId} - Active transports: ${transports.size}`);
+
             if (!transport) {
-                res.status(400).send('No active SSE connection');
+                console.error(`No transport found for session: ${sessionId}`);
+                res.status(400).send('No active SSE connection for this session');
                 return;
             }
             await transport.handlePostMessage(req, res);
         });
 
-        const PORT = process.env.UMAMI_MCP_PORT || 3003;
-        app.listen(PORT, () => {
-            console.error(`Umami MCP server running on http://localhost:${PORT}/sse`);
+        const PORT = Number(process.env.UMAMI_MCP_PORT) || 3003;
+        app.listen(PORT, '0.0.0.0', () => {
+            console.error(`Umami MCP server running on http://0.0.0.0:${PORT}/sse`);
         });
     }
 }

packages/umami-mcp/src/start.ts

@@ -4,8 +4,8 @@ import { fileURLToPath } from 'url';
 
 const __dirname = fileURLToPath(new URL('.', import.meta.url));
 
-config({ path: resolve(__dirname, '../../../.env.local') });
-config({ path: resolve(__dirname, '../../../.env') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env.local') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env') });
 
 import('./index.js').catch(err => {
     console.error('Failed to start Umami MCP Server:', err);

packages/vikunja-mcp/Dockerfile

@@ -0,0 +1,15 @@
+FROM node:20-bookworm-slim AS builder
+WORKDIR /app
+COPY package.json ./
+RUN npm install -g pnpm@10.18.3 && pnpm install --ignore-workspace
+COPY tsconfig.json ./
+COPY src ./src
+RUN pnpm build
+
+FROM node:20-bookworm-slim
+WORKDIR /app
+COPY --from=builder /app/package.json ./
+COPY --from=builder /app/node_modules ./node_modules
+COPY --from=builder /app/dist ./dist
+
+ENTRYPOINT ["node", "dist/start.js"]

packages/vikunja-mcp/package.json

@@ -0,0 +1,30 @@
+{
+  "name": "@mintel/vikunja-mcp",
+  "version": "1.0.0",
+  "description": "Vikunja MCP server for Mintel infrastructure",
+  "main": "dist/index.js",
+  "type": "module",
+  "scripts": {
+    "build": "tsc",
+    "start": "node dist/start.js",
+    "dev": "tsx watch src/index.ts",
+    "test:unit": "vitest run"
+  },
+  "dependencies": {
+    "@modelcontextprotocol/sdk": "^1.5.0",
+    "axios": "^1.7.2",
+    "dotenv": "^17.3.1",
+    "express": "^4.19.2",
+    "form-data": "^4.0.5",
+    "marked": "^18.0.5"
+  },
+  "devDependencies": {
+    "@types/express": "^4.17.21",
+    "@types/form-data": "^2.5.2",
+    "@types/marked": "^6.0.0",
+    "@types/node": "^20.14.10",
+    "tsx": "^4.19.2",
+    "typescript": "^5.5.3",
+    "vitest": "^2.1.3"
+  }
+}

packages/vikunja-mcp/src/index.test.ts

@@ -0,0 +1,205 @@
+import { describe, it, expect, vi, beforeEach } from 'vitest';
+
+// Mock axios
+const mockGet = vi.fn();
+const mockPost = vi.fn();
+const mockPut = vi.fn();
+const mockDelete = vi.fn();
+
+vi.mock('axios', () => {
+  return {
+    default: {
+      create: vi.fn().mockImplementation(() => ({
+        get: mockGet,
+        post: mockPost,
+        put: mockPut,
+        delete: mockDelete,
+      })),
+    },
+  };
+});
+
+// Set env vars
+process.env.VIKUNJA_API_TOKEN = 'test-token';
+process.env.VIKUNJA_BASE_URL = 'https://tasks.test.me';
+
+// Mock express to avoid starting a real server
+vi.mock('express', () => {
+  const mockApp = {
+    use: vi.fn(),
+    get: vi.fn(),
+    post: vi.fn(),
+    listen: vi.fn().mockImplementation((port, host, cb) => cb && cb()),
+  };
+  const mockExpress = () => mockApp;
+  (mockExpress as any).json = () => vi.fn();
+  return { default: mockExpress };
+});
+
+let server: any;
+
+describe('Vikunja MCP Server - New Tools (RED)', () => {
+  beforeEach(async () => {
+    vi.clearAllMocks();
+    if (!server) {
+      const mod = await import('./index.js');
+      server = mod.server;
+    }
+  });
+
+  it('should support vikunja_create_project', async () => {
+    mockPut.mockResolvedValueOnce({
+      data: { id: 10, title: 'New Project', description: 'Testing' }
+    });
+
+    const handler = (server as any)._requestHandlers.get('tools/call');
+    expect(handler).toBeDefined();
+
+    const response = await handler({
+      method: 'tools/call',
+      params: {
+        name: 'vikunja_create_project',
+        arguments: {
+          title: 'New Project',
+          description: 'Testing',
+          hex_color: 'ff0000',
+        },
+      },
+    });
+    expect(mockPut).toHaveBeenCalledWith('/projects', {
+      title: 'New Project',
+      description: 'Testing',
+      hex_color: 'ff0000',
+    });
+    expect(response.isError).toBeUndefined();
+    expect(JSON.parse(response.content[0].text)).toEqual({
+      id: 10,
+      title: 'New Project',
+      description: 'Testing',
+    });
+  });
+
+  it('should support vikunja_get_task', async () => {
+    mockGet.mockResolvedValueOnce({
+      data: { id: 42, title: 'My Task', project_id: 1 }
+    });
+
+    const handler = (server as any)._requestHandlers.get('tools/call');
+    const response = await handler({
+      method: 'tools/call',
+      params: {
+        name: 'vikunja_get_task',
+        arguments: {
+          task_id: 42,
+        },
+      },
+    });
+
+    expect(mockGet).toHaveBeenCalledWith('/tasks/42');
+    expect(response.isError).toBeUndefined();
+    expect(JSON.parse(response.content[0].text)).toEqual({
+      id: 42,
+      title: 'My Task',
+      project_id: 1,
+    });
+  });
+
+  it('should support vikunja_delete_task', async () => {
+    mockDelete.mockResolvedValueOnce({
+      data: { message: 'success' }
+    });
+
+    const handler = (server as any)._requestHandlers.get('tools/call');
+    const response = await handler({
+      method: 'tools/call',
+      params: {
+        name: 'vikunja_delete_task',
+        arguments: {
+          task_id: 42,
+        },
+      },
+    });
+
+    expect(mockDelete).toHaveBeenCalledWith('/tasks/42');
+    expect(response.isError).toBeUndefined();
+    expect(JSON.parse(response.content[0].text)).toEqual({
+      message: 'success',
+    });
+  });
+
+  it('should support vikunja_create_task_comment', async () => {
+    mockPut.mockResolvedValueOnce({
+      data: { id: 1, comment: 'New Comment', task_id: 42 }
+    });
+
+    const handler = (server as any)._requestHandlers.get('tools/call');
+    const response = await handler({
+      method: 'tools/call',
+      params: {
+        name: 'vikunja_create_task_comment',
+        arguments: {
+          task_id: 42,
+          comment: 'New Comment',
+        },
+      },
+    });
+
+    expect(mockPut).toHaveBeenCalledWith('/tasks/42/comments', {
+      comment: 'New Comment',
+    });
+    expect(response.isError).toBeUndefined();
+    expect(JSON.parse(response.content[0].text)).toEqual({
+      id: 1,
+      comment: 'New Comment',
+      task_id: 42,
+    });
+  });
+
+  it('should support vikunja_get_task_comments', async () => {
+    mockGet.mockResolvedValueOnce({
+      data: [{ id: 1, comment: 'New Comment', task_id: 42 }]
+    });
+
+    const handler = (server as any)._requestHandlers.get('tools/call');
+    const response = await handler({
+      method: 'tools/call',
+      params: {
+        name: 'vikunja_get_task_comments',
+        arguments: {
+          task_id: 42,
+        },
+      },
+    });
+
+    expect(mockGet).toHaveBeenCalledWith('/tasks/42/comments');
+    expect(response.isError).toBeUndefined();
+    expect(JSON.parse(response.content[0].text)).toEqual([
+      { id: 1, comment: 'New Comment', task_id: 42 }
+    ]);
+  });
+
+  it('should support vikunja_create_task and convert markdown description to HTML', async () => {
+    mockPut.mockResolvedValueOnce({
+      data: { id: 11, title: 'Markdown Task', description: '<p><strong>Bold</strong> and <em>italic</em></p>\n' }
+    });
+
+    const handler = (server as any)._requestHandlers.get('tools/call');
+    const response = await handler({
+      method: 'tools/call',
+      params: {
+        name: 'vikunja_create_task',
+        arguments: {
+          project_id: 1,
+          title: 'Markdown Task',
+          description: '**Bold** and *italic*'
+        },
+      },
+    });
+
+    expect(mockPut).toHaveBeenCalledWith('/projects/1/tasks', expect.objectContaining({
+      title: 'Markdown Task',
+      description: '<p><strong>Bold</strong> and <em>italic</em></p>\n'
+    }));
+    expect(response.isError).toBeUndefined();
+  });
+});

packages/vikunja-mcp/src/index.ts

@@ -0,0 +1,421 @@
+import { Server } from "@modelcontextprotocol/sdk/server/index.js";
+import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
+import express from 'express';
+import {
+    CallToolRequestSchema,
+    ListToolsRequestSchema,
+    Tool,
+} from "@modelcontextprotocol/sdk/types.js";
+import axios from "axios";
+import https from "https";
+import fs from "fs";
+import path from "path";
+import { marked } from "marked";
+
+const VIKUNJA_BASE_URL = process.env.VIKUNJA_BASE_URL || "https://tasks.infra.mintel.me";
+const VIKUNJA_API_TOKEN = process.env.VIKUNJA_API_TOKEN;
+
+const httpsAgent = new https.Agent({
+    rejectUnauthorized: false,
+});
+
+if (!VIKUNJA_API_TOKEN) {
+    console.error("Warning: VIKUNJA_API_TOKEN is not set.");
+}
+
+function getApi() {
+    if (!VIKUNJA_API_TOKEN) {
+        throw new Error("VIKUNJA_API_TOKEN is not configured.");
+    }
+    return axios.create({
+        baseURL: `${VIKUNJA_BASE_URL}/api/v1`,
+        headers: {
+            Authorization: `Bearer ${VIKUNJA_API_TOKEN}`,
+            'Content-Type': 'application/json'
+        },
+        httpsAgent,
+        timeout: 10000
+    });
+}
+
+// --- Tool Definitions ---
+const GET_PROJECTS_TOOL: Tool = {
+    name: "vikunja_get_projects",
+    description: "List all projects in Vikunja",
+    inputSchema: { type: "object", properties: {} },
+};
+
+const GET_TASKS_TOOL: Tool = {
+    name: "vikunja_get_tasks",
+    description: "Get all tasks for a specific project",
+    inputSchema: {
+        type: "object",
+        properties: {
+            project_id: { type: "number", description: "The ID of the project" },
+        },
+        required: ["project_id"],
+    },
+};
+
+const CREATE_TASK_TOOL: Tool = {
+    name: "vikunja_create_task",
+    description: "Create a new task in a project",
+    inputSchema: {
+        type: "object",
+        properties: {
+            project_id: { type: "number", description: "The ID of the project to add the task to" },
+            title: { type: "string", description: "The title of the task" },
+            description: { type: "string", description: "Optional description of the task" },
+            parent_task_id: { type: "number", description: "Optional ID of a parent task to create a subtask" },
+            due_date: { type: "string", description: "ISO 8601 Date string for due date" },
+            start_date: { type: "string", description: "ISO 8601 Date string for start date" },
+            end_date: { type: "string", description: "ISO 8601 Date string for end date" },
+            priority: { type: "number", description: "Priority level (e.g. 1-5)" },
+            percent_done: { type: "number", description: "Progress percentage" },
+            hex_color: { type: "string", description: "Hex color code" },
+            is_favorite: { type: "boolean", description: "Mark as favorite" }
+        },
+        required: ["project_id", "title"],
+    },
+};
+
+const UPDATE_TASK_TOOL: Tool = {
+    name: "vikunja_update_task",
+    description: "Update a task (e.g., mark as done)",
+    inputSchema: {
+        type: "object",
+        properties: {
+            task_id: { type: "number", description: "The ID of the task to update" },
+            done: { type: "boolean", description: "Set to true to mark the task as done" },
+            title: { type: "string", description: "Update the title" },
+            description: { type: "string", description: "Update the description" },
+            due_date: { type: "string", description: "ISO 8601 Date string for due date" },
+            start_date: { type: "string", description: "ISO 8601 Date string for start date" },
+            end_date: { type: "string", description: "ISO 8601 Date string for end date" },
+            priority: { type: "number", description: "Priority level (e.g. 1-5)" },
+            percent_done: { type: "number", description: "Progress percentage (0-1 or 0-100 depending on API version, try decimals like 0.5 first)" },
+            hex_color: { type: "string", description: "Hex color code" },
+            is_favorite: { type: "boolean", description: "Mark as favorite" }
+        },
+        required: ["task_id"],
+    },
+};
+
+const CREATE_PROJECT_TOOL: Tool = {
+    name: "vikunja_create_project",
+    description: "Create a new project (list) in Vikunja",
+    inputSchema: {
+        type: "object",
+        properties: {
+            title: { type: "string", description: "The title of the project" },
+            description: { type: "string", description: "Optional description of the project" },
+            hex_color: { type: "string", description: "Optional hex color without the '#' prefix" }
+        },
+        required: ["title"]
+    }
+};
+
+const GET_TASK_TOOL: Tool = {
+    name: "vikunja_get_task",
+    description: "Get details for a specific task by ID",
+    inputSchema: {
+        type: "object",
+        properties: {
+            task_id: { type: "number", description: "The ID of the task" }
+        },
+        required: ["task_id"]
+    }
+};
+
+const DELETE_TASK_TOOL: Tool = {
+    name: "vikunja_delete_task",
+    description: "Delete a task by ID",
+    inputSchema: {
+        type: "object",
+        properties: {
+            task_id: { type: "number", description: "The ID of the task to delete" }
+        },
+        required: ["task_id"]
+    }
+};
+
+const CREATE_TASK_COMMENT_TOOL: Tool = {
+    name: "vikunja_create_task_comment",
+    description: "Add a comment to a task",
+    inputSchema: {
+        type: "object",
+        properties: {
+            task_id: { type: "number", description: "The ID of the task to comment on" },
+            comment: { type: "string", description: "The comment text" }
+        },
+        required: ["task_id", "comment"]
+    }
+};
+
+const GET_TASK_COMMENTS_TOOL: Tool = {
+    name: "vikunja_get_task_comments",
+    description: "Get all comments for a specific task",
+    inputSchema: {
+        type: "object",
+        properties: {
+            task_id: { type: "number", description: "The ID of the task" }
+        },
+        required: ["task_id"]
+    }
+};
+
+const GET_TASK_ATTACHMENT_TOOL: Tool = {
+    name: "vikunja_get_task_attachment",
+    description: "Download a task attachment to a local file",
+    inputSchema: {
+        type: "object",
+        properties: {
+            task_id: { type: "number", description: "The ID of the task" },
+            attachment_id: { type: "number", description: "The ID of the attachment" },
+            save_path: { type: "string", description: "Absolute path to save the file to" }
+        },
+        required: ["task_id", "attachment_id", "save_path"]
+    }
+};
+
+const CREATE_TASK_ATTACHMENT_TOOL: Tool = {
+    name: "vikunja_upload_task_attachment",
+    description: "Upload an attachment file to a specific task",
+    inputSchema: {
+        type: "object",
+        properties: {
+            task_id: { type: "number", description: "The ID of the task" },
+            file_path: { type: "string", description: "Absolute path to the local file to upload" }
+        },
+        required: ["task_id", "file_path"]
+    }
+};
+
+// --- Server Setup ---
+export const server = new Server(
+    { name: "vikunja-mcp", version: "1.0.0" },
+    { capabilities: { tools: {} } }
+);
+
+server.setRequestHandler(ListToolsRequestSchema, async () => ({
+    tools: [
+        GET_PROJECTS_TOOL,
+        GET_TASKS_TOOL,
+        CREATE_TASK_TOOL,
+        UPDATE_TASK_TOOL,
+        CREATE_PROJECT_TOOL,
+        GET_TASK_TOOL,
+        DELETE_TASK_TOOL,
+        CREATE_TASK_COMMENT_TOOL,
+        GET_TASK_COMMENTS_TOOL,
+        GET_TASK_ATTACHMENT_TOOL,
+        CREATE_TASK_ATTACHMENT_TOOL
+    ],
+}));
+
+server.setRequestHandler(CallToolRequestSchema, async (request) => {
+    try {
+        const api = getApi();
+
+        if (request.params.name === "vikunja_get_projects") {
+            const res = await api.get('/projects');
+            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
+        }
+
+        if (request.params.name === "vikunja_get_tasks") {
+            const { project_id } = request.params.arguments as any;
+            const res = await api.get(`/projects/${project_id}/tasks`);
+            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
+        }
+
+        if (request.params.name === "vikunja_create_task") {
+            const { 
+                project_id, title, description, parent_task_id,
+                due_date, start_date, end_date, priority, percent_done, hex_color, is_favorite
+            } = request.params.arguments as any;
+            
+            const payload: any = {
+                title,
+                description: description ? await marked.parse(description) : ""
+            };
+            
+            if (parent_task_id !== undefined) payload.parent_task_id = parent_task_id;
+            if (due_date !== undefined) payload.due_date = due_date;
+            if (start_date !== undefined) payload.start_date = start_date;
+            if (end_date !== undefined) payload.end_date = end_date;
+            if (priority !== undefined) payload.priority = priority;
+            if (percent_done !== undefined) payload.percent_done = percent_done;
+            if (hex_color !== undefined) payload.hex_color = hex_color;
+            if (is_favorite !== undefined) payload.is_favorite = is_favorite;
+            
+            const res = await api.put(`/projects/${project_id}/tasks`, payload);
+            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
+        }
+
+        if (request.params.name === "vikunja_update_task") {
+            const { 
+                task_id, done, title, description, 
+                due_date, start_date, end_date, 
+                priority, percent_done, hex_color, is_favorite 
+            } = request.params.arguments as any;
+            
+            const payload: any = {};
+            if (done !== undefined) payload.done = done;
+            if (title !== undefined) payload.title = title;
+            if (description !== undefined) payload.description = await marked.parse(description);
+            if (due_date !== undefined) payload.due_date = due_date;
+            if (start_date !== undefined) payload.start_date = start_date;
+            if (end_date !== undefined) payload.end_date = end_date;
+            if (priority !== undefined) payload.priority = priority;
+            if (percent_done !== undefined) payload.percent_done = percent_done;
+            if (hex_color !== undefined) payload.hex_color = hex_color;
+            if (is_favorite !== undefined) payload.is_favorite = is_favorite;
+
+            const res = await api.post(`/tasks/${task_id}`, payload);
+            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
+        }
+
+        if (request.params.name === "vikunja_create_project") {
+            const { title, description, hex_color } = request.params.arguments as any;
+            // Vikunja standard: creating a new root resource uses PUT /projects in this version
+            const res = await api.put('/projects', {
+                title,
+                description: description || "",
+                hex_color: hex_color || ""
+            });
+            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
+        }
+
+        if (request.params.name === "vikunja_get_task") {
+            const { task_id } = request.params.arguments as any;
+            const res = await api.get(`/tasks/${task_id}`);
+            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
+        }
+
+        if (request.params.name === "vikunja_delete_task") {
+            const { task_id } = request.params.arguments as any;
+            const res = await api.delete(`/tasks/${task_id}`);
+            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
+        }
+
+        if (request.params.name === "vikunja_create_task_comment") {
+            const { task_id, comment } = request.params.arguments as any;
+            // Vikunja standard: task sub-resources (like comments) are typically appended using PUT /tasks/{id}/comments
+            const res = await api.put(`/tasks/${task_id}/comments`, { comment });
+            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
+        }
+
+        if (request.params.name === "vikunja_get_task_comments") {
+            const { task_id } = request.params.arguments as any;
+            const res = await api.get(`/tasks/${task_id}/comments`);
+            return { content: [{ type: "text", text: JSON.stringify(res.data, null, 2) }] };
+        }
+
+        if (request.params.name === "vikunja_get_task_attachment") {
+            const { task_id, attachment_id, save_path } = request.params.arguments as any;
+            const res = await api.get(`/tasks/${task_id}/attachments/${attachment_id}`, {
+                responseType: 'arraybuffer'
+            });
+            fs.writeFileSync(save_path, Buffer.from(res.data));
+            return { content: [{ type: "text", text: `Successfully saved attachment to ${save_path}` }] };
+        }
+
+        if (request.params.name === "vikunja_upload_task_attachment") {
+            const { task_id, file_path } = request.params.arguments as any;
+            if (!fs.existsSync(file_path)) {
+                throw new Error(`File not found: ${file_path}`);
+            }
+            
+            const buffer = fs.readFileSync(file_path);
+            const blob = new Blob([buffer]);
+            const formData = new FormData();
+            formData.append('files', blob, path.basename(file_path));
+
+            const res = await api.put(`/tasks/${task_id}/attachments`, formData, {
+                headers: {
+                    'Content-Type': 'multipart/form-data'
+                }
+            });
+            return { content: [{ type: "text", text: `Successfully uploaded attachment to task ${task_id}.\nResponse: ${JSON.stringify(res.data)}` }] };
+        }
+
+        throw new Error(`Unknown tool: ${request.params.name}`);
+    } catch (e: any) {
+        const msg = e.response?.data?.message || e.message;
+        return { 
+            isError: true, 
+            content: [{ type: "text", text: `MCP Service Error: ${msg}` }] 
+        };
+    }
+});
+
+// --- Express / SSE Server Setup ---
+async function run() {
+    const isStdio = process.argv.includes('--stdio');
+
+    if (isStdio) {
+        const { StdioServerTransport } = await import('@modelcontextprotocol/sdk/server/stdio.js');
+        const transport = new StdioServerTransport();
+        await server.connect(transport);
+        console.error('Vikunja MCP server is running on stdio');
+    } else {
+        const app = express();
+        const transports = new Map<string, SSEServerTransport>();
+
+        app.use((req, res, next) => {
+            res.setHeader('Access-Control-Allow-Origin', '*');
+            res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS');
+            res.setHeader('Access-Control-Allow-Headers', 'Content-Type, Authorization, x-mcp-protocol-version');
+            if (req.method === 'OPTIONS') {
+                res.status(204).end();
+                return;
+            }
+            next();
+        });
+
+        app.use((req, _res, next) => {
+            console.error(`${req.method} ${req.url}`);
+            next();
+        });
+
+        app.get('/sse', async (req, res) => {
+            const transport = new SSEServerTransport('/message', res as any);
+            const sessionId = transport.sessionId;
+            console.error(`New SSE connection: ${sessionId}`);
+            transports.set(sessionId, transport);
+
+            const heartbeatInterval = setInterval(() => {
+                res.write(": heartbeat\n\n");
+            }, 15000);
+
+            req.on('close', () => {
+                console.error(`SSE connection closed: ${sessionId}`);
+                clearInterval(heartbeatInterval);
+                transports.delete(sessionId);
+            });
+
+            await server.connect(transport);
+        });
+
+        app.post('/message', express.json(), async (req, res) => {
+            const sessionId = req.query.sessionId as string;
+            const transport = transports.get(sessionId);
+
+            if (!transport) {
+                res.status(400).send('No active SSE connection for this session');
+                return;
+            }
+            await transport.handlePostMessage(req, res);
+        });
+
+        const PORT = Number(process.env.VIKUNJA_MCP_PORT) || 3007;
+        app.listen(PORT, '0.0.0.0', () => {
+            console.error(`Vikunja MCP server running on http://0.0.0.0:${PORT}/sse`);
+        });
+    }
+}
+
+run().catch((err) => {
+    console.error("Fatal error:", err);
+    process.exit(1);
+});

packages/vikunja-mcp/src/start.ts

@@ -0,0 +1,13 @@
+import { config } from 'dotenv';
+import { resolve } from 'path';
+import { fileURLToPath } from 'url';
+
+const __dirname = fileURLToPath(new URL('.', import.meta.url));
+
+config({ quiet: true, path: resolve(__dirname, '../../../.env.local') });
+config({ quiet: true, path: resolve(__dirname, '../../../.env') });
+
+import('./index.js').catch(err => {
+    console.error('Failed to start Vikunja MCP Server:', err);
+    process.exit(1);
+});

packages/vikunja-mcp/tsconfig.json

@@ -0,0 +1,16 @@
+{
+    "compilerOptions": {
+        "target": "ES2022",
+        "module": "NodeNext",
+        "moduleResolution": "NodeNext",
+        "outDir": "./dist",
+        "rootDir": "./src",
+        "strict": true,
+        "esModuleInterop": true,
+        "skipLibCheck": true,
+        "forceConsistentCasingInFileNames": true
+    },
+    "include": [
+        "src/**/*"
+    ]
+}