Model Context Protocol (MCP) Server

What is Model Context Protocol (MCP) Server?

A basic educational implementation of the Model Context Protocol (MCP) in Python. It demonstrates core MCP concepts using FastAPI, WebSockets, and Pydantic for message handling. Designed for learning and experimentation.

How to use Model Context Protocol (MCP) Server?

Create a virtual environment, install dependencies from requirements.txt, start the server with python -m src.server, and run the example client with python examples/basic_usage.py.

Key features of Model Context Protocol (MCP) Server

• WebSocket-based communication using FastAPI
• Basic MCP message handling with Pydantic models
• Support for model context management
• Simple client-server interaction with async/await
• Pythonic code structure for educational clarity

Use cases of Model Context Protocol (MCP) Server

• Learning the Model Context Protocol through hands-on examples
• Prototyping simple AI model interaction flows
• Testing MCP message format and context management
• Comparing Python and TypeScript implementations of MCP

FAQ from Model Context Protocol (MCP) Server

What is the Model Context Protocol?

A communication protocol designed for AI model interactions, including message format handling, context management, and basic protocol operations.

What are the runtime requirements?

Python 3 with a virtual environment, plus FastAPI, Pydantic, and WebSocket support as listed in requirements.txt.

How does this server differ from the TypeScript version?

It uses FastAPI instead of Express, implements async/await for performance, uses Pydantic for validation, and follows more Pythonic patterns.