shareai-lab/learn-claude-code/mcp-builder

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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.

Install

npx vskill@latest install shareai-lab/learn-claude-code/mcp-builder

SKILL.md

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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
66,939
Repository forks
10,881
7-day trend score
56

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 14 Apr 2026, 6 months ago.

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