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?

1. Building AI-powered applications that require fast and efficient API responses.
2. Integrating with Large Language Models for advanced data processing and analysis.
3. 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.