🎯

mcp-builder

🎯Skill

from shareai-lab/learn-claude-code

VibeIndex|
What it does

Builds MCP servers to extend Claude's capabilities by creating custom tools, resources, and integrations with external services.

πŸ“¦

Part of

shareai-lab/learn-claude-code(4 items)

mcp-builder

Installation

PythonRun Python server
python3 -m venv venv && source venv/bin/activate
pip installInstall Python package
pip install mcp
npm installInstall npm package
npm install @modelcontextprotocol/sdk
npxRun with npx
npx @anthropics/mcp-inspector python3 my_server.py
Server ConfigurationMCP server configuration block
{ "mcpServers": { "my-server": { "command": "python3", "args":...
πŸ“– Extracted from docs: shareai-lab/learn-claude-code
16Installs
16,540
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AddedFeb 4, 2026

Skill Details

SKILL.md

Build MCP (Model Context Protocol) servers that give Claude new capabilities. Use when user wants to create an MCP server, add tools to Claude, or integrate external services.

Overview

# 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

```bash

# 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

```python

#!/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:

```json

{

"mcpServers": {

"my-server": {

"command": "python3",

"args": ["/path/to/my_server.py"]

}

}

}

```

TypeScript MCP Server

1. Setup

```bash

mkdir my-mcp-server && cd my-mcp-server

npm init -y

npm install @modelcontextprotocol/sdk

```

2. Template

```typescript

// 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

```python

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

```python

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)

```python

@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

```bash

# 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