ci: fix unhandled typescript exceptions and strict eslint errors caught by the pipeline

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

@@ -1,65 +1,72 @@
-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 } from "ai";
+import { z } from "zod";
 
 /**
  * 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: z
+        .any()
+        .describe("JSON matching the original MCP input_schema"), // Simplify for prototype
+      // @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 };
 }