Python MCP Server Template - UBOS

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Python MCP Server Template

A template repository for creating Model Context Protocol (MCP) servers using Python with stdio transport.

Overview

This template provides a standardized setup for building MCP servers that integrate with VS Code. It uses:

  • Python with the official MCP server library
  • Standard input/output (stdio) for communication
  • VS Code integration for seamless development

Features

  • Example MCP tools implementation with decorators
  • VS Code development environment support
  • Simple stdio-based transport for reliable local development
  • Easy debugging with VS Code’s Python debugger

Getting Started

  1. Use this template repository to create your new MCP server project
  2. Create and activate a Python virtual environment
  3. Install dependencies from requirements.txt
  4. Customize the MCP tools in the Python code
  5. Test locally with VS Code

Project Structure

.
├── src/                    # Python source code
│   └── server.py          # MCP server implementation
├── .vscode/               # VS Code configuration
└── README.md              # Project documentation

Customization

To implement your own MCP server:

  1. Modify the Python code to add your custom tools using the @tool decorator
  2. Update requirements.txt if additional dependencies are needed
  3. Configure your VS Code workspace settings

Development

  1. Set up a Python virtual environment:

    python -m venv venv
    source venv/bin/activate  # or `venvScriptsactivate` on Windows
    pip install -r requirements.txt
    
  2. Configure VS Code:

    • Create .vscode/mcp.json with stdio configuration
    • Set up Python interpreter in VS Code
    • Use the integrated terminal for running commands
    • Debug your MCP server using VS Code’s Python debugger
  3. Test your MCP server:

    • Use VS Code’s built-in MCP server testing capabilities
    • Debug with breakpoints and VS Code’s debug console
    • Monitor stdio communication in the output panel

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Submit a pull request

License

[Your chosen license]

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