mcp-openapi
Turn any REST API into Claude tools - zero config, one cmd
What it does
mcp-openapi converts any OpenAPI/Swagger spec into MCP tools for Claude, Cursor, and Windsurf. Just provide a URL — no config files, no boilerplate code. Supports Swagger 2.0, OpenAPI 3.x, built-in auth, and flat parameter schemas for better LLM accuracy. 800+ weekly npm downloads.
Does the same job
all alternatives →
- MAMitmproxy2swagger – Automagically reverse-engineer REST APIs2022 · github.com · ▲691
- IBI built a No Code Dockerized MCP Server for any API - AI Agent2025 · github.com · ▲7
TLDR: OpenAPI-MCP is a Dockerized server that dynamically generates Model Context Protocol (MCP) tool definitions directly from your Swagger/OpenAPI documentation. It allows your AI agent to seamlessly access any API without additional coding, streamlining development and eliminating repetitive manual setup. For more details, code updates-----: GitHub: ckanthony/openapi-mcp Docker Hub: ckanthony/openapi-mcp
API to MCP ConverterApr 2026 · apitomcpconverter.com · ▲2OpenAPI to MCP for AI agents in 1 click – No code, no deploy
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
