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by ellenfel • Uncategorized
A basic Python implementation of a Model Context Protocol server using FastAPI and WebSockets.
WebSocket-based communication for AI model interactions.
Basic model context management and protocol operations.
An educational example of implementing MCP in Python.
This MCP server demonstrates core concepts of the Model Context Protocol, enabling AI model interactions through WebSocket communication. It features async/await support for performance, Pydantic models for data validation, and simple client-server interaction for educational purposes. The server is designed to be Pythonic and easy to extend or learn from.