MyAIServ: AI-Powered FastAPI Server with MCP 🚀

Created By
eagurina year ago
High-performance FastAPI server implementing Model Context Protocol (MCP) for seamless integration with Large Language Models (LLMs). Built with modern stack: FastAPI, Elasticsearch, Redis, Prometheus, and Grafana.
Overview

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.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
eagurin
Star
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Language
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License
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