Model Context Protocol Server
by tian1ll1
A FastAPI-based implementation of a Model Context Protocol (MCP) server. It handles model context management, session handling, and protocol operations.
Last updated: N/A
What is Model Context Protocol Server?
The Model Context Protocol Server is a FastAPI-based REST API server designed for managing model context, handling sessions, and facilitating protocol operations.
How to use Model Context Protocol Server?
To use the server, clone the repository, set up a virtual environment, install dependencies, configure environment variables, and run the server in development or production mode using Uvicorn or Docker. Access the API documentation via Swagger UI or ReDoc.
Key features of Model Context Protocol Server
FastAPI-based REST API
Model context management
Session handling and persistence
WebSocket support
Authentication and authorization
Use cases of Model Context Protocol Server
Managing model context for AI applications
Handling user sessions in real-time applications
Implementing protocol operations for data exchange
Providing a secure API for model interaction
FAQ from Model Context Protocol Server
What is FastAPI?
What is FastAPI?
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints.
What is Model Context Protocol?
What is Model Context Protocol?
Model Context Protocol (MCP) is a protocol for managing the context of machine learning models, including data, parameters, and state.
How do I access the API documentation?
How do I access the API documentation?
You can access the API documentation at http://localhost:8000/docs (Swagger UI) or http://localhost:8000/redoc (ReDoc) once the server is running.
How do I configure the server?
How do I configure the server?
The server can be configured using environment variables or a .env file. See .env.example for available options.
How do I run the tests?
How do I run the tests?
Run the test suite using the command pytest.