MCP服务器模板

git clone https://github.com/yourusername/your-mcp-server.git
cd your-mcp-server
pip install -r requirements.txt

python server.py

# Your MCP server is now running and ready to accept connections!

mcp-template/
├── 🐍 app.py           # Your tool implementations
├── 🚀 server.py        # MCP server configuration
├── 📋 requirements.txt # Python dependencies
├── 🐳 Dockerfile       # Container configuration
├── ⚙️ smithery.yaml    # Smithery deployment config
└── 📖 README.md        # This beautiful documentation

def myAwesomeTool(param: str) -> str:
    """Your amazing tool implementation."""
    # Add your logic here
    return f"Processed: {param}"

@mcp.tool()
async def my_awesome_tool(param: str) -> str:
    """
    Description of what your tool does.
    """
    result = myAwesomeTool(param)
    return result

@mcp.tool()
async def dummy_tool(param: str) -> str:
    """
    A sample tool that processes input parameters.
    """
    awesome_response = dummyTool(param)
    return awesome_response

# Build the container
docker build -t my-mcp-server .

# Run the container
docker run -p 8000:8000 my-mcp-server

pip install -r requirements.txt
python server.py

export MCP_SERVER_NAME="my-awesome-mcp"
export LOG_LEVEL="INFO"

requests>=2.28.0
mcp
your-additional-package>=1.0.0

def fetchData(url: str) -> dict:
    """Fetch data from an API endpoint."""
    response = requests.get(url)
    return response.json()

@mcp.tool()
async def fetch_api_data(url: str) -> str:
    """Fetch and return data from a URL."""
    data = fetchData(url)
    return json.dumps(data, indent=2)

def processFile(content: str) -> str:
    """Process file content."""
    # Your processing logic
    return content.upper()

@mcp.tool()
async def process_text(text: str) -> str:
    """Process and transform text content."""
    return processFile(text)