What is MCP Server?
MCP Server is a Python-based implementation of the Model Context Protocol (MCP) built on FastAPI. It enables standardized context interaction between AI models and development environments by providing efficient API endpoints, simplifying model deployment, and ensuring consistency in model input and output.
How to use MCP Server?
Clone the repository, install dependencies with pip install -r requirements.txt, then start the server with python mcp_server.py (defaults to 127.0.0.1:12000). Host and port can be customized via environment variables MCP_SERVER_HOST and MCP_SERVER_PORT. Run the included test client with python mcp_client.py.
Key features of MCP Server
- JSON-RPC 2.0 request-response communication
- Server-Sent Events (SSE) support for real-time notifications
- Modular architecture for easy extension
- Asynchronous processing with FastAPI
- Complete test client implementation
Use cases of MCP Server
- Integrating AI models with standardized context interaction
- Building maintainable AI applications with unified input/output
- Real-time communication between AI services and clients via SSE
- Rapid prototyping of MCP-based services using the test client
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