Product Hunt MCP

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.

Product Hunt MCP seamlessly integrates Product Hunt's API with large language models (LLMs) and AI agents using the Model Context Protocol (MCP). This plug-and-play server enables access to diverse Product Hunt data—including posts, collections, topics, users, votes, and comments—directly within LLM workflows. Designed for developers and AI enthusiasts, it supports tools like Claude Desktop and Cursor, allowing users to build chatbots, automations, or data dashboards. Key features include advanced filtering, paginated comments, and real-time API rate limit monitoring. Setup is straightforward with Python or Docker, requiring only a Product Hunt API token. Ideal for enhancing AI-driven insights with product discovery data, Product Hunt MCP bridges community-driven content with cutting-edge language models.