Connect Product Hunt's API to LLMs through the Model Context Protocol. Access posts, collections, topics, users, votes, and comments with Claude Desktop, Cursor, or any MCP client.
I was surprised to find that there was no MCP for Product Hunt yet, despite the GraphQL API being available. So I built one!
This server connects Product Hunt's API to any LLM that speaks the Model Context Protocol, letting your AI assistants access real-time Product Hunt data without complex coding.
With this MCP, your AI can answer questions like - What were the top 5 launches last December? - What's the difference between average vote counts in December 2023 vs December 2024? - Which topics had the most popular products this quarter?
Key features - Get info on posts, comments, collections, topics, users - Search/filter by topic, date, votes - Built with FastMCP for speed
It's perfect for AI enthusiasts using Claude Desktop or Cursor, developers building with Product Hunt data, or anyone exploring the MCP ecosystem.
The repo has setup instructions. Would love your feedback! 🚀
Very cool, @jaipandya! I think there's a lot of opportunity to integrate this along with other product discovery/review sites and social platforms to get a better signal on what's trending and/or most useful.
Does it connect to the PH api?
Will it tell me all the people that voted for a product?
Congratulations on launching Product Hunt MCP! Your solution to connect Product Hunt data with LLMs is a valuable addition.
How does the Model Context Protocol enhance data retrieval efficiency for developers integrating various client applications with Product Hunt's API?
