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producthunt-mcp-serverproducthunt-mcp-server MCP server

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Product Hunt MCP Server connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). It's a plug-and-play MCP server for Product Hunt, allowing users to get posts, collections, topics, users, votes, comments, and more. The server is perfect for AI assistants, chatbots, or automations and can be used with Claude Desktop, Cursor, or any MCP client. It features detailed info on posts, comments, collections, topics, users, search/filter by topic, date, votes, etc., paginated comments, user upvotes, and more. The server is built with FastMCP for speed and compatibility. The target audience includes AI/LLM users who can plug into Claude Desktop, Cursor, or their own agent; developers who can build bots, dashboards, or automations with Product Hunt data; and tinkerers who can explore the MCP ecosystem and build their own tools. To set up the server, users need Python 3.10+, a Product Hunt API token, and to follow the installation instructions. The server can be installed using pip, uv, or from the GitHub repository. The server can be used with Claude Desktop and Cursor by adding it to their configuration files. The main strengths of the server are its ease of use, flexibility, and compatibility with various MCP clients. However, it requires a Product Hunt API token and has specific installation and configuration requirements. The server's limitations include the need for a valid Product Hunt API token and potential issues with the server's compatibility with certain environments or clients. Overall, the Product Hunt MCP Server is a useful tool for users who want to integrate Product Hunt data with their AI assistants, chatbots, or automations.

Key features

  • Get detailed info on posts, comments, collections, topics, users
  • Search/filter by topic, date, votes, etc.
  • Paginated comments, user upvotes, and more
  • Built with FastMCP for speed and compatibility

Pricing

Model
Free
Category
MCP Servers
Rating
No reviews yet

Use cases

AI Assistant Integration

Integrate Product Hunt data with AI assistants or chatbots using the MCP server.

Automation and Bot Building

Use the MCP server to build bots, dashboards, or automations with Product Hunt data.

Pros & Cons

Pros

  • Easy to install and use
  • Flexible and compatible with various MCP clients
  • Provides detailed information on posts, comments, collections, topics, users

Cons

  • Requires a Product Hunt API token
  • Specific installation and configuration requirements

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Q&A

What are the cons of using producthunt-mcp-server?

It requires a Product Hunt API token and has specific installation and configuration requirements.

Asked by Mohammed Al-Amin · Jul 15, 2026

What are the pros of using producthunt-mcp-server?

It is easy to install and use, flexible and compatible with various MCP clients, and provides detailed information on posts, comments, collections, topics, users.

Asked by Wanjiru Kamau · Jun 20, 2026

What are the key features?

The key features include getting detailed info on posts, comments, collections, topics, users, search/filter by topic, date, votes, etc., paginated comments, user upvotes, and more.

Asked by Wesley Adekunle · Apr 6, 2026

What is producthunt-mcp-server used for?

It connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP), allowing users to get posts, collections, topics, users, votes, comments, and more.

Asked by Emeka Obi · Mar 26, 2026

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