Developer builds autonomous AI tool discovery engine using Llama 3.3 and MCP

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A developer has created AI Tool Hunter V2, an open-source platform designed to overcome the limitations of static AI tool directories that fail when searched by intent rather than exact keywords. The system uses the Tavily API to continuously scan the web for newly launched AI software, while Llama 3.3-70B running on Groq extracts metadata, pricing, and intent-based categories from raw results. Deduplicated records are stored in a Supabase PostgreSQL database, and the entire dataset is published as an open-source corpus on Hugging Face. The tool is also exposed as a Model Context Protocol server, allowing AI agents to query it programmatically. The project is fully open-source, with the live app, GitHub repository, and Hugging Face dataset all publicly available.

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