jaipandya/producthunt-mcp-server
by Various
π π - MCP server for Product Hunt. Interact with trending posts, comments, collections, users, and more.
MCP
jaipandya/producthunt-mcp-server
Added 1 June 2026
Overview
An open-source MCP (Model Context Protocol) server that exposes Product Hunt data such as trending posts, comments, collections, and users through a standardized interface. Built in Python, it enables AI agents and tools to query Product Hunt resources programmatically.
Best for
Best for
Developers building AI agents or tools that need to pull live trending data from Product Hunt.
Use cases
- Fetching today's trending Product Hunt posts for market research
- Retrieving recent comments on a specific Product Hunt launch
- Integrating Product Hunt user data into a chatbot or recommendation system
Notes
An open-source MCP (Model Context Protocol) server that exposes Product Hunt data such as trending posts, comments, collections, and users through a standardized interface. Built in Python, it enables AI agents and tools to query Product Hunt resources programmatically.
46 stars on GitHub. Last updated 2025-04-19.
Use cases
- Fetching todayβs trending Product Hunt posts for market research
- Retrieving recent comments on a specific Product Hunt launch
- Integrating Product Hunt user data into a chatbot or recommendation system
Pros
- Open source and free to self-host under the MCP standard
- Provides structured access to multiple Product Hunt endpoints (posts, comments, collections, users)
- Written in Python with a simple codebase for easy customization
Cons
- Relies on Product Hunt API keys which require separate registration and are subject to rate limits
- Small community (46 stars) may mean slower issue resolution or updates
- Requires a Python runtime and MCP client to be useful, limiting plug-and-play usage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source and free to self-host under the MCP standard
- Provides structured access to multiple Product Hunt endpoints (posts, comments, collections, users)
- Written in Python with a simple codebase for easy customization
Cons
- Relies on Product Hunt API keys which require separate registration and are subject to rate limits
- Small community (46 stars) may mean slower issue resolution or updates
- Requires a Python runtime and MCP client to be useful, limiting plug-and-play usage
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