Product Hunt MCP

What is Product Hunt MCP?

Product Hunt MCP Server is an open-source bridge between Product Hunt’s GraphQL API and any AI assistant that speaks the Model Context Protocol. Built by Jai Pandya, it was created because — surprisingly — no MCP for Product Hunt existed despite the public API being available. With this server, your AI can answer questions about Product Hunt data without requiring any custom integration code.

What can you ask it?

• “What were the top 5 product launches last December?”
• “What is the difference in average vote counts between December 2023 vs December 2024?”
• “Which topics had the most popular products this quarter?”
• “Show me all launches tagged #developer-tools this month”
• “How many comments did [product name] receive on launch day?”

Key features

• Posts & collections — look up any product launch, get details, votes, and topics
• Topic & date filtering — filter launches by category, time range, and upvote threshold
• Votes & comments — paginated access to upvotes and discussion threads
• User profiles — look up maker information and their launched products
• API rate limit awareness — built-in tools to check rate limit status and reset times
• Built with FastMCP — delivers fast, reliable responses from the GraphQL API
• Docker support — run in a container for easy deployment

Why it’s useful

Product Hunt carries strong signal about what’s trending in tech. By connecting PH data to an LLM via MCP, you can run comparative trend analysis (e.g., top AI tools March 2024 vs March 2025), track competitor launches over time, or research which product categories are gaining momentum — all through natural conversation rather than manual API queries.

Setup

Requires a free Product Hunt API token. Add the server to your Claude Desktop or Cursor config and start querying immediately. Docker deployment is also supported for team use.