mcp_server
This project implements a Python-based MCP server to enable standardized interactions between AI models and development environments. It uses FastAPI for high-performance asynchronous processing and supports JSON-RPC 2.0 for communication and Server-Sent Events for real-time notifications.
Overview
Built on FastAPI and the Model Context Protocol (MCP), this project facilitates standardized interaction between AI models and development environments to improve scalability and maintainability of AI applications. It simplifies model deployment, supports JSON-RPC 2.0 for communication, offers real-time Server-Sent Events, and implements asynchronous processing for high performance. Features include modular design and a complete test client.
Features
- JSON-RPC 2.0: For request-response communication
- SSE Connection: For real-time notifications
- Modular Design: Easy extension and customization
- Asynchronous Processing: High performance using FastAPI
- Complete Client: Full test client available
Usage
Start the server with default settings or customize host and port. Run the client using the server URL for interactions.