mcp-builder

name	mcp-builder
description	构建 MCP（Model Context Protocol）服务器，为模型扩展工具能力；适用于用户要创建 MCP server、添加 tools 或对接外部服务。

MCP Server Building Skill

You now have expertise in building MCP (Model Context Protocol) servers. MCP enables Claude to interact with external services through a standardized protocol.

What is MCP?

MCP servers expose:

• Tools: Functions Claude can call (like API endpoints)
• Resources: Data Claude can read (like files or database records)
• Prompts: Pre-built prompt templates

Quick Start: Python MCP Server

1. Project Setup

# Create project
mkdir my-mcp-server && cd my-mcp-server
python3 -m venv venv && source venv/bin/activate

# Install MCP SDK
pip install mcp

2. Basic Server Template

#!/usr/bin/env python3
"""my_server.py - A simple MCP server"""

from mcp.server import Server
from mcp.server.stdio import stdio_server
from mcp.types import Tool, TextContent

# Create server instance
server = Server("my-server")

# Define a tool
@server.tool()
async def hello(name: str) -> str:
    """Say hello to someone.

    Args:
        name: The name to greet
    """
    return f"Hello, {name}!"

@server.tool()
async def add_numbers(a: int, b: int) -> str:
    """Add two numbers together.

    Args:
        a: First number
        b: Second number
    """
    return str(a + b)

# Run server
async def main():
    async with stdio_server() as (read, write):
        await server.run(read, write)

if __name__ == "__main__":
    import asyncio
    asyncio.run(main())

3. Register with Claude

Add to ~/.claude/mcp.json:

{
  "mcpServers": {
    "my-server": {
      "command": "python3",
      "args": ["/path/to/my_server.py"]
    }
  }
}

TypeScript MCP Server

1. Setup

mkdir my-mcp-server && cd my-mcp-server
npm init -y
npm install @modelcontextprotocol/sdk

2. Template

// src/index.ts
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";

const server = new Server({
  name: "my-server",
  version: "1.0.0",
});

// Define tools
server.setRequestHandler("tools/list", async () => ({
  tools: [
    {
      name: "hello",
      description: "Say hello to someone",
      inputSchema: {
        type: "object",
        properties: {
          name: { type: "string", description: "Name to greet" },
        },
        required: ["name"],
      },
    },
  ],
}));

server.setRequestHandler("tools/call", async (request) => {
  if (request.params.name === "hello") {
    const name = request.params.arguments.name;
    return { content: [{ type: , :  }] };
  }
    ();
});


 transport =  ();
server.(transport);

Advanced Patterns

External API Integration

import httpx
from mcp.server import Server

server = Server("weather-server")

@server.tool()
async def get_weather(city: str) -> str:
    """Get current weather for a city."""
    async with httpx.AsyncClient() as client:
        resp = await client.get(
            f"https://api.weatherapi.com/v1/current.json",
            params={"key": "YOUR_API_KEY", "q": city}
        )
        data = resp.json()
        return f"{city}: {data['current']['temp_c']}C, {data['current']['condition']['text']}"

Database Access

import sqlite3
from mcp.server import Server

server = Server("db-server")

@server.tool()
async def query_db(sql: str) -> str:
    """Execute a read-only SQL query."""
    if not sql.strip().upper().startswith("SELECT"):
        return "Error: Only SELECT queries allowed"

    conn = sqlite3.connect("data.db")
    cursor = conn.execute(sql)
    rows = cursor.fetchall()
    conn.close()
    return str(rows)

Resources (Read-only Data)

@server.resource("config://settings")
async def get_settings() -> str:
    """Application settings."""
    return open("settings.json").read()

@server.resource("file://{path}")
async def read_file(path: str) -> str:
    """Read a file from the workspace."""
    return open(path).read()

Testing

# Test with MCP Inspector
npx @anthropics/mcp-inspector python3 my_server.py

# Or send test messages directly
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | python3 my_server.py

Best Practices

1. Clear tool descriptions: Claude uses these to decide when to call tools
2. Input validation: Always validate and sanitize inputs
3. Error handling: Return meaningful error messages
4. Async by default: Use async/await for I/O operations
5. Security: Never expose sensitive operations without auth
6. Idempotency: Tools should be safe to retry