A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).
A Python-based MCP server that exposes tools over streamable HTTP using FastAPI, enabling connection to AI assistants like Cursor. Supports multiple servers mounted in a single FastAPI app.
A Model Context Protocol server built with FastMCP that features dynamic tool loading and modular management via a dedicated tool directory. It supports both stdio and HTTP transport modes, enabling efficient development and deployment of custom MCP tools.
An MCP server that dynamically reads OpenAPI specs and registers every endpoint as an LLM-callable tool with automatic change detection and hot reload.