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Python MCP Server Starter

by ltwlf

A template repository for creating Python applications using the Model Context Protocol (MCP) and the MCP Python SDK. It provides a starting point for building MCP servers with tools and resources.

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What is Python MCP Server Starter?

This is a starter template for building Python-based MCP (Model Context Protocol) servers. It provides a pre-configured environment and structure for creating and deploying MCP servers that can expose tools and resources to Large Language Models (LLMs).

How to use Python MCP Server Starter?

To use this template, clone the repository, rename the project components, create a virtual environment using uv, install dependencies, and then run the server using uv run or the mcp CLI tool. You can then add your own tools and resources by using the @mcp.tool() and @mcp.resource() decorators. Docker support is included for containerized deployment.

Key features of Python MCP Server Starter

  • Implements an MCP server using the mcp Python SDK (FastMCP).

  • Exposes MCP Tools (functions callable by LLMs) and Resources (data accessible by LLMs).

  • Clean, modular architecture.

  • Easy tool and resource registration.

  • Command-line interface with customizable options.

  • Ready for production deployment.

  • Built-in debug capabilities using debugpy with VS Code integration.

  • Development tools configured (using uv for environment/package management).

  • Docker support for containerized deployment.

Use cases of Python MCP Server Starter

  • Building custom tools for LLMs.

  • Exposing data resources to LLMs.

  • Creating MCP servers for specific applications.

  • Integrating LLMs with existing Python applications.

FAQ from Python MCP Server Starter

What is MCP?

MCP stands for Model Context Protocol. It's a protocol that allows LLMs to interact with external tools and resources.

What is the MCP Python SDK?

The MCP Python SDK is a Python library that provides tools for building MCP servers.

How do I add a new tool?

Use the @mcp.tool() decorator in your server.py file.

How do I add a new resource?

Use the @mcp.resource() decorator in your server.py file.

How do I debug the server?

The project includes built-in debugging capabilities using debugpy and VS Code integration. Follow the instructions in the README for setting up debugging.