Product Hunt MCP
Product Hunt MCP Server is a blazing-fast, plug-and-play server that connects Product Hunt's API to any LLM or AI agent through the Model Context Protocol (MCP), enabling seamless access to posts, collections, topics, users, votes, and comments.
https://github.com/jaipandya/producthunt-mcp-server?ref=aipure
Product Information
Updated:May 16, 2025
What is Product Hunt MCP
Product Hunt MCP Server is a specialized bridge that integrates Product Hunt's API capabilities with artificial intelligence applications through the Model Context Protocol (MCP). Built with FastMCP for optimal performance, this open-source tool serves as a crucial connector that allows AI models and agents to interact with Product Hunt's extensive database of product launches, user interactions, and community content. It's designed for AI/LLM users, developers, and tinkerers who want to leverage Product Hunt's data in their AI-powered applications.
Key Features of Product Hunt MCP
Product Hunt MCP Server is a plug-and-play server that connects Product Hunt's API to AI language models and agents using the Model Context Protocol (MCP). It enables users to access and interact with Product Hunt data including posts, collections, topics, users, votes, and comments through AI assistants like Claude Desktop and Cursor, while providing features for filtering, searching, and pagination.
Comprehensive Data Access: Provides detailed access to Product Hunt's content including posts, comments, collections, topics, users, and votes with filtering and search capabilities
AI Integration: Seamlessly connects with AI tools and language models that support the Model Context Protocol, including Claude Desktop and Cursor
Docker Support: Offers containerized deployment option with Docker for easy setup and consistent environment across different platforms
Rate Limit Management: Implements intelligent rate limiting and provides status monitoring to ensure API usage remains within Product Hunt's constraints
Use Cases of Product Hunt MCP
AI-Powered Product Research: Enables researchers and analysts to use AI assistants to gather and analyze product trends and market data from Product Hunt
Automated Content Monitoring: Helps developers build bots and automation tools to track new products, comments, and user engagement in specific categories
Interactive Product Discovery: Allows users to have natural language conversations with AI to discover and learn about new products and technologies
Community Engagement Analysis: Enables businesses to analyze user comments, votes, and interactions to understand community reception of products
Pros
Easy installation and setup process
Compatible with multiple AI platforms and tools
Comprehensive API coverage with detailed documentation
Cons
Requires Product Hunt API token for authentication
Subject to API rate limitations
Depends on external services (Product Hunt API) availability
How to Use Product Hunt MCP
Install Prerequisites: Ensure you have Python 3.10+ installed and create a Product Hunt account to get an API token from https://www.producthunt.com/v2/oauth/applications
Install Product Hunt MCP: Run 'pip install product-hunt-mcp' or 'uv pip install product-hunt-mcp' if using uv installer
Set up Environment Variable: Set your Product Hunt API token as an environment variable: export PRODUCT_HUNT_TOKEN=your_token_here
Configure MCP Client: Add the configuration to your Claude Desktop or Cursor config file (config.json/settings.json) with the mcpServers section including product-hunt command and token
Start the Server: Run 'product-hunt-mcp' command to start the MCP server
Alternative Docker Setup: Alternatively, build and run via Docker: 'docker build -t product-hunt-mcp .' followed by 'docker run -i --rm -e PRODUCT_HUNT_TOKEN=your_token_here product-hunt-mcp'
Use MCP Tools: Access Product Hunt data using available MCP tools like get_post_details, get_posts, get_comments, etc. through your configured MCP client
Restart Client: Restart your Claude Desktop or Cursor client after making configuration changes
Monitor Rate Limits: Keep track of API rate limits using get_api_rate_limits or check_server_status tools to avoid hitting limits
Product Hunt MCP FAQs
Product Hunt MCP Server is a plug-and-play server that connects Product Hunt's API to any LLM or agent that uses the Model Context Protocol (MCP). It allows users to access posts, collections, topics, users, votes, and comments through AI assistants like Claude Desktop, Cursor, or other MCP clients.
Product Hunt MCP Video
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