Product Hunt MCP
Connect Product Hunt data to any LLM or agent
Listed in categories:
Artificial IntelligenceDeveloper ToolsGitHub
Description
Product Hunt MCP Server is a plug-and-play server that connects to Product Hunt's API, allowing users to interact with various data points such as posts, comments, collections, and users through the Model Context Protocol (MCP). It is designed for AI assistants, chatbots, and automation tools, making it easy to access and utilize Product Hunt data.
How to use Product Hunt MCP?
To use the Product Hunt MCP Server, install it via pip, set up your Product Hunt API token as an environment variable, and configure it with your AI assistant or automation tool. You can also run it using Docker for easier deployment.
Core features of Product Hunt MCP:
1️⃣
Connects to Product Hunt's API
2️⃣
Retrieves posts, comments, collections, and user data
3️⃣
Supports search and filtering by various parameters
4️⃣
Paginated comments and user upvotes
5️⃣
Built with FastMCP for speed and compatibility
Why could be used Product Hunt MCP?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | AI and LLM users can integrate with Claude Desktop or Cursor for enhanced functionalities. | ✅ | |
| # 2 | Developers can build bots, dashboards, or automations using Product Hunt data. | ✅ | |
| # 3 | Tinkerers can explore the MCP ecosystem and create their own tools. | ✅ | |
Who developed Product Hunt MCP?
The Product Hunt MCP Server is developed by Jaipandya, who focuses on creating tools that enhance the interaction between APIs and various applications, particularly in the realm of AI and automation.