mcp_server
If you are the rightful owner of mcp_server 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.
The MCP Server project is built on FastAPI and MCP, providing standardized context interaction between AI models and development environments.
The MCP Server project is designed to enhance the scalability and maintainability of AI applications by simplifying model deployment and providing efficient API endpoints. It ensures consistency in model input and output, making it easier for developers to integrate and manage AI tasks. The server is implemented in Python and supports basic MCP protocol features such as initialization, sampling, and session management. It uses FastAPI for high-performance service and asynchronous IO, and supports JSON-RPC 2.0 for request-response communication.
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.
