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.