Why Use This This skill provides specialized capabilities for shareAI-lab's codebase.
Use Cases Developing new features in the shareAI-lab repository Refactoring existing code to follow shareAI-lab standards Understanding and working with shareAI-lab's codebase structure
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Updated At Jan 7, 2026, 05:02 PM
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---
name: mcp-builder
description: 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.
---
# 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