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MCP Server Python Template

by sontallive

This template provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python. It's designed to make AI-assisted development of MCP tools easier and more efficient.

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What is MCP Server Python Template?

This is a Python template for building Model Context Protocol (MCP) servers, designed to facilitate AI-assisted development of MCP tools.

How to use MCP Server Python Template?

Clone the repository, create a virtual environment, install dependencies, and run the example server. To create custom tools, import necessary components from mcp, initialize the server with a namespace, define tools using the @mcp.tool() decorator, and run the server with the appropriate transport.

Key features of MCP Server Python Template

  • Ready-to-use MCP server implementation

  • Configurable transport modes (stdio, SSE)

  • Example weather service integration (NWS API)

  • Clean, well-documented code structure

  • Embedded MCP specifications and documentation

Use cases of MCP Server Python Template

  • Building AI-powered CLI tools

  • Creating web applications that interact with AI models

  • Developing custom tools for specific domains using MCP

  • Integrating AI models with external data sources

  • Streamlining AI coding assistance with Cursor Rules

FAQ from MCP Server Python Template

What is MCP?

The Model Context Protocol (MCP) is a standardized way for AI models to interact with external tools and resources.

What are the requirements for using this template?

Python 3.12+ and the dependencies listed in the README (mcp, httpx, starlette, uvicorn).

How do I run the example server?

Use the commands python server.py --transport stdio for CLI tools or python server.py --transport sse --host 0.0.0.0 --port 8080 for web applications.

How do I create my own MCP tools?

Import components from mcp, initialize the server, define tools using the @mcp.tool() decorator, and run the server.

Where can I find the MCP documentation?

The complete MCP specification is located in protocals/mcp.md, and the Python SDK guide is in protocals/sdk.md.