MyAIServ: AI-Powered FastAPI Server with MCP 🚀

what is MyAIServ? MyAIServ is a high-performance FastAPI server that implements the Model Context Protocol (MCP) for seamless integration with Large Language Models (LLMs). It is built using a modern tech stack including FastAPI, Elasticsearch, Redis, Prometheus, and Grafana. how to use MyAIServ? To use MyAIServ, clone the repository from GitHub, set up a virtual environment, install the required dependencies, configure the environment variables, and run the server using Uvicorn. Access the API documentation and GraphQL interface through your browser. key features of MyAIServ? FastAPI-powered REST, GraphQL, and WebSocket APIs Full MCP support (Tools, Resources, Prompts, Sampling) Vector search capabilities with Elasticsearch Real-time monitoring using Prometheus and Grafana Docker-ready deployment with comprehensive test coverage use cases of MyAIServ? Building AI-powered applications that require fast and efficient API responses. Integrating with Large Language Models for advanced data processing and analysis. Implementing real-time monitoring and analytics for AI services. FAQ from MyAIServ? What is the Model Context Protocol (MCP)? MCP is a protocol designed to facilitate the integration of various tools and resources with Large Language Models, enhancing their capabilities. Is MyAIServ suitable for production use? Yes! MyAIServ is designed for high performance and can be deployed in production environments. How can I contribute to MyAIServ? You can contribute by submitting issues, feature requests, or pull requests on the GitHub repository.

As an MCP (Model Context Protocol) server, MyAIServ: AI-Powered FastAPI Server with MCP 🚀 enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use MyAIServ, clone the repository from GitHub, set up a virtual environment, install the required dependencies, configure the environment variables, and run the server using Uvicorn. Access the API documentation and GraphQL interface through your browser. key features of MyAIServ? FastAPI-powered REST, GraphQL, and WebSocket APIs Full MCP support (Tools, Resources, Prompts, Sampling) Vector search capabilities with Elasticsearch Real-time monitoring using Prometheus and Grafana Docker-ready deployment with comprehensive test coverage use cases of MyAIServ? Building AI-powered applications that require fast and efficient API responses. Integrating with Large Language Models for advanced data processing and analysis. Implementing real-time monitoring and analytics for AI services. FAQ from MyAIServ? What is the Model Context Protocol (MCP)? MCP is a protocol designed to facilitate the integration of various tools and resources with Large Language Models, enhancing their capabilities. Is MyAIServ suitable for production use? Yes! MyAIServ is designed for high performance and can be deployed in production environments. How can I contribute to MyAIServ? You can contribute by submitting issues, feature requests, or pull requests on the GitHub repository.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.