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Model-Context-Protocol

ellenfel/Model-Context-Protocol

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communication ai_chatbot developer_tools

If you are the rightful owner of Model-Context-Protocol and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A basic implementation of a Model Context Protocol server for educational purposes, demonstrating core MCP concepts using Python.

The Model Context Protocol (MCP) Server is designed to facilitate communication between AI models and clients using a structured protocol. This server is implemented using Python and leverages FastAPI and WebSockets for real-time communication. It provides a framework for managing model contexts and handling messages using Pydantic models. The server supports asynchronous operations to enhance performance and is structured to allow easy client-server interactions. This implementation serves as an educational tool to understand the workings of MCP and how it can be applied in practical scenarios.

Features

WebSocket-based communication using FastAPI and WebSockets
Basic MCP message handling with Pydantic models
Support for model context management
Simple client-server interaction
Async/await support for better performance

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