MCP Builder

MCP Server Building Skill

You now have expertise in building MCP (Model Context Protocol) servers. MCP enables an AI client 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 an AI client

Each client (Cursor / Claude Desktop / other MCP-compatible hosts) has its own MCP configuration location and schema.

In general, you register an MCP server by providing:

• a name
• a command (e.g. python3)
• args pointing to your server entrypoint (e.g. /path/to/my_server.py)

Example shape (do not assume the exact file path or schema for every client):

{
  "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: "text", text: `Hello, ${name}!` }] };
  }
  throw new Error("Unknown tool");
});

// Start server
const transport = new StdioServerTransport();
server.connect(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

Source: IBNBlank/hex_claw — distributed by TomeVault.