freedanfan_mcp_server
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The MCP Server project is built on FastAPI and MCP, providing a standardized protocol for context interaction between AI models and development environments.
The MCP Server project is designed to facilitate seamless interaction between AI models and development environments using the Model Context Protocol (MCP). By leveraging FastAPI, the server offers a robust and scalable solution for deploying AI models, ensuring consistent input and output handling. This project simplifies the integration and management of AI tasks, making it easier for developers to build and maintain AI applications. The server supports essential MCP features such as initialization, sampling, and session management, and provides efficient API endpoints for communication. With its modular design and asynchronous processing capabilities, the MCP Server is both flexible and high-performing, suitable for a wide range of AI applications.
Features
- JSON-RPC 2.0: Request-response communication based on standard JSON-RPC 2.0 protocol.
- SSE Connection: Support for Server-Sent Events connections for real-time notifications.
- Modular Design: Modular architecture for easy extension and customization.
- Asynchronous Processing: High-performance service using FastAPI and asynchronous IO.
- Complete Client: Includes a full test client implementation.
