Sponsored by Deepsite.site

MCP Server Template

Created By
MCP-Mirror10 months ago
Mirror of
Content

MCP Server Template

A template for creating Model Context Protocol (MCP) servers in TypeScript. This template provides a solid foundation for building MCP-compatible servers with proper tooling, type safety, and best practices.

Features

  • 🚀 Full TypeScript support
  • 🏗️ Container-based dependency injection
  • 📦 Service-based architecture with DataProcessor interface
  • 🛠️ Example tool implementation with tests
  • 🧪 Vitest testing framework
  • 📝 Type definitions
  • 🔌 MCP SDK integration

Getting Started

Development

  1. Install dependencies:

    npm install
    
  2. Start the development server with hot reload:

    npm run dev
    
  3. Build the project:

    npm run build
    
  4. Run tests:

    npm test
    
  5. Start the production server:

    npm start
    

Project Structure

src/
├── index.ts          # Entry point
├── interfaces/       # Interface definitions
│   └── tool.ts      # DataProcessor interface
└── tools/           # Tool implementations
    └── example.ts   # Example tool

Creating Tools

  1. Export your tool and handlers following the example in src/tools/example.ts:

    // In your-tool.ts
    export const YOUR_TOOLS = [
      {
        name: "your-tool-name",
        description: "Your tool description",
        parameters: {
          // Your tool parameters schema
        },
      },
    ];
    
    export const YOUR_HANDLERS = {
      "your-tool-name": async (request) => {
        // Your tool handler implementation
        return {
          toolResult: {
            content: [{ type: "text", text: "Result" }],
          },
        };
      },
    };
    
  2. Register your tool in the ALL_TOOLS and ALL_HANDLERS constants in src/index.ts:

    // In src/index.ts
    import { YOUR_TOOLS, YOUR_HANDLERS } from "./tools/your-tool.js";
    
    // Combine all tools
    const ALL_TOOLS = [...EXAMPLE_TOOLS, ...YOUR_TOOLS];
    const ALL_HANDLERS = { ...EXAMPLE_HANDLERS, ...YOUR_HANDLERS };
    

The server will automatically:

  • List your tool in the available tools
  • Handle input validation
  • Process requests to your tool
  • Format responses according to the MCP protocol

Testing

The template includes a built-in TestClient for local testing and the MCP Inspector for visual debugging.

Using TestClient

The TestClient provides a simple way to test your tools:

import { TestClient } from "./utils/TestClient";

describe("YourTool", () => {
  const client = new TestClient();

  it("should process data correctly", async () => {
    await client.assertToolCall(
      "your-tool-name",
      { input: "test" },
      (result) => {
        expect(result.toolResult.content).toBeDefined();
      }
    );
  });
});

Using MCP Inspector

The template includes the MCP Inspector for visual debugging of your tools:

  1. Start the inspector:

    npx @modelcontextprotocol/inspector node dist/index.js
    
  2. Open the inspector UI at http://localhost:5173

The inspector provides:

  • Visual interface for testing tools
  • Real-time request/response monitoring
  • Tool metadata inspection
  • Interactive testing environment

Local Testing with Cursor

To test your MCP server locally with Cursor:

  1. Build and link the package:

    npm run build
    npm run link
    
  2. Verify the binary works:

    npx example-mcp-tool
    
  3. Add the server to Cursor:

    • Open Cursor settings
    • Navigate to the Features tab
    • Scroll down to MCP Servers section
    • Click "Add Server"
    • Select "Command" type
    • Give it a name (e.g., "Local Example Tool")
    • Enter the command: npx example-mcp-tool
    • Click Confirm
  4. Verify the server starts correctly in Cursor by checking the MCP Servers section shows your server as running.

Note: If you make changes to your code, remember to rebuild and relink:

npm run build
npm run link

When you're done testing, you can unlink the package:

npm run unlink

This will remove the global symlink created during development.

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
CursorThe AI Code Editor
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Serper MCP ServerA Serper MCP Server
WindsurfThe new purpose-built IDE to harness magic
Amap Maps高德地图官方 MCP Server
DeepChatYour AI Partner on Desktop
Tavily Mcp
Playwright McpPlaywright MCP server
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
ChatWiseThe second fastest AI chatbot™
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.