Overview
What is Python MCP Server Template?
Python MCP Server Template is a minimal boilerplate for building a Model Context Protocol (MCP) server using the Python SDK. It is designed for developers who want to quickly scaffold a new MCP server without starting from scratch.
How to use Python MCP Server Template?
First, ensure you have uv and Python 3.13+ installed. Then run uv sync to install dependencies and source .venv/bin/activate. You can run the server using the MCP Inspector (mcp dev server/main.py), directly (python server/main.py), or via the provided VSCode configuration in .vscode/mcp.json. Note that MCP support in VSCode currently requires the Insiders version.
Key features of Python MCP Server Template
- Minimal template for MCP servers with Python SDK
- Uses
uvfor fast dependency management - Pre-configured Visual Studio Code launch settings
- Supports testing with MCP Inspector
- Requires Python 3.13+
- Licensed under MIT
Use cases of Python MCP Server Template
- Quickly prototype a new MCP server
- Learn the Model Context Protocol with a minimal starting point
- Customize and extend to integrate any data source or tool
- Use as a foundation for an AI‑assisted coding agent server
FAQ from Python MCP Server Template
What does this template provide?
It provides a minimal, ready‑to‑run MCP server project structure, including the necessary Python SDK dependency, a server/main.py entry point, and VSCode workspace configuration.
What are the prerequisites for using this template?
You need Python 3.13+ and the uv package manager (pip install uv). You can install the required Python version with uv python install 3.13.
How do I run the server for development?
The recommended way is to use the MCP Inspector: run mcp dev server/main.py. Alternatively, you can run python server/main.py directly. For Visual Studio Code, use the pre‑configured launch profile in .vscode/mcp.json (requires VSCode Insiders).
Can I customize this template for my own server?
Yes. You can fork or create a new repository from this template. Then edit server/main.py to add your own tools and resources following the MCP Python SDK documentation.
What license does this template use?
It is released under the MIT License, as stated in the LICENSE file.