Model Context Protocol (mcp) Server Mn0

🚀 Model Context Protocol (MCP) Server

A basic Model Context Protocol server implemented in Python for educational purposes. This server demonstrates the core concepts of MCP and how to implement them in Python.

🚀 Quick Start

1. Create a virtual environment (recommended):

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

3. Start the development server:

python -m src.server

4. Run the example client:

python examples/basic_usage.py

✨ Features

• WebSocket-based communication using FastAPI and WebSockets
• Handling of basic MCP messages with Pydantic models
• Support for model context management
• Simple client-server interaction
• Asynchronous/await support for better performance

📚 Documentation

Project Structure

src/
├── server.py          # Main server implementation file
├── types/            # TypeScript type definitions
│   └── mcp.py        # MCP protocol types using Pydantic
└── examples/         # Example implementations
    └── basic_usage.py # Basic client example

MCP Protocol Overview

The Model Context Protocol (MCP) is a communication protocol for AI model interaction. This implementation includes:

• Handling of message formats with Pydantic models
• Context management
• Basic protocol operations
• Asynchronous/await support for improved performance

Key Differences from the TypeScript Version

1. Using FastAPI instead of Express
2. Implementing asynchronous/await for better performance
3. Using Pydantic for data validation and serialization
4. A more Pythonic code structure and pattern