MyAIServ is a high-performance FastAPI server implementing the Model Context Protocol (MCP), enabling seamless integration with Large Language Models (LLMs). Its modern technology stack includes FastAPI, Elasticsearch, Redis, Prometheus, and Grafana.
To use MyAIServ, clone its GitHub repository. Then, set up a virtual environment, install dependencies, configure environment variables, and launch the server with Uvicorn. The API documentation and GraphQL interface are accessible via your browser.
Key features include FastAPI-powered REST, GraphQL, and WebSocket APIs, full MCP support for Tools, Resources, Prompts, and Sampling, vector search via Elasticsearch, real-time monitoring with Prometheus and Grafana, and Docker-ready deployment with comprehensive testing.
Use cases involve building AI applications requiring fast API responses, integrating LLMs for advanced data processing, and implementing real-time monitoring for AI services.
Frequently asked questions include: The Model Context Protocol (MCP) is designed to integrate various tools and resources with LLMs, enhancing their capabilities. MyAIServ is suitable for production, built for high performance. Contributions are welcome via issues, feature requests, or pull requests on GitHub.