A FastAPI-based MCP server providing automation and AI-powered tools for performance testing, security scanning, browser automation, code review, code generation, knowledge retrieval, and design collaboration via both REST API and MCP protocol.
A demonstration MCP server built with FastAPI that provides basic mathematical operations and greeting services. Integrates with Gemini CLI to showcase MCP protocol implementation with simple REST endpoints.
A high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.
A production-grade FastAPI-based MCP server for career-oriented tools, currently exposing GitHub integration (profile, repos, pinned, search, rate limits) to LLM clients via the Model Context Protocol.
A Model Context Protocol server implementation built with FastAPI that enables AI agent interactions. Provides a structured foundation for building AI-powered applications with proper data validation and modern Python tooling.
An enterprise-grade Model Context Protocol server for high-performance web analysis that discovers subpages, provides AI-based page summaries, and extracts structured content for RAG using FastMCP and FastAPI.