🚀 Product Hunt MCP Server

What is 🚀 Product Hunt MCP Server?

It connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). It retrieves posts, collections, topics, users, votes, and comments. It is designed for AI assistants, chatbots, and automations.

How to use 🚀 Product Hunt MCP Server?

Install via pip install product-hunt-mcp, set the PRODUCT_HUNT_TOKEN environment variable, then run product-hunt-mcp. Configure MCP clients like Claude Desktop or Cursor by adding the command and token to their config file.

Key features of 🚀 Product Hunt MCP Server

• Get posts, collections, topics, users with filters.
• Retrieve paginated comments and user upvotes.
• Search/filter by topic, date, votes, and more.
• Built with FastMCP for speed and compatibility.
• Can be run via Docker or installed from PyPI.
• Provides multiple MCP tools for Product Hunt data.

Use cases of 🚀 Product Hunt MCP Server

• AI assistants fetch current trending products and details.
• Developers build bots that monitor Product Hunt activity.
• Automate collection of product launch data for analysis.
• Integrate Product Hunt data into chatbots or dashboards.
• Explore the MCP ecosystem with a ready‑to‑use server.

FAQ from 🚀 Product Hunt MCP Server

What do I need to use it?

Python 3.10+ and a Product Hunt API token from the API Dashboard.

How do I set up authentication?

Set the PRODUCT_HUNT_TOKEN environment variable with your developer token.

What MCP clients are supported?

Claude Desktop, Cursor, and any MCP‑compatible client.

Are there rate limits?

Yes, the Product Hunt API has rate limits; the server informs you and you can check status via check_server_status.

Does this server require a redirect URI for the API token?

When creating a Product Hunt application, a redirect URI is required but can be any valid URL like https://localhost:8424/callback.