Product Hunt
π π - MCP server for Product Hunt. Interact with trending posts, comments, collections, users, and more.
What is Product Hunt?
Product Hunt is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to π π - mcp server for product hunt. interact with trending posts, comments, collections, users, and more.
π π - MCP server for Product Hunt. Interact with trending posts, comments, collections, users, and more.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- π π - MCP server for Product Hunt. Interact with trending po
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx product-huntConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Product Hunt
The Product Hunt MCP server connects AI assistants to the Product Hunt platform via its official API, exposing 11 tools that let you browse trending posts, read comments, explore collections, search topics, and look up user profiles. It requires a Product Hunt developer token and runs as a local Python process, making it ideal for startup researchers, indie makers, and product managers who want to analyze launches and community sentiment without leaving their AI workflow.
Prerequisites
- Python 3.10 or higher installed
- A Product Hunt account and API developer token from https://www.producthunt.com/v2/oauth/applications
- pip package manager to install product-hunt-mcp
- An MCP-compatible client such as Claude Desktop
Obtain a Product Hunt API token
Visit https://www.producthunt.com/v2/oauth/applications and create a new developer application. Copy the API token β this is the credential the MCP server uses for all requests.
Install the MCP server package
Install the published Python package from PyPI using pip. This provides the `product-hunt-mcp` executable used in the client configuration.
pip install product-hunt-mcpLocate your Claude Desktop config file
Open your MCP client configuration file. On macOS with Claude Desktop this is at ~/Library/Application Support/Claude/claude_desktop_config.json.
Add the server to your MCP configuration
Register the server under the mcpServers key, passing your Product Hunt token as an environment variable so it is available at runtime.
{
"mcpServers": {
"product-hunt": {
"command": "product-hunt-mcp",
"args": [],
"env": {
"PRODUCT_HUNT_TOKEN": "your_product_hunt_api_token_here"
}
}
}
}Restart Claude Desktop and verify connectivity
Quit and reopen Claude Desktop. Ask Claude to check the server status using the check_server_status tool β a successful response confirms the token is valid and the API is reachable.
Product Hunt Examples
Client configuration
Complete claude_desktop_config.json entry for the Product Hunt MCP server using the installed Python package.
{
"mcpServers": {
"product-hunt": {
"command": "product-hunt-mcp",
"args": [],
"env": {
"PRODUCT_HUNT_TOKEN": "your_product_hunt_api_token_here"
}
}
}
}Prompts to try
Example prompts that exercise the server's 11 tools across posts, comments, collections, topics, and users.
- "Show me the top voted Product Hunt posts from this week about AI tools"
- "Get all comments on the product with slug 'notion-ai'"
- "Find featured collections related to developer productivity"
- "Search for topics matching 'machine learning' ordered by followers"
- "Retrieve the Product Hunt profile for user handle 'rrhoover'"Troubleshooting Product Hunt
check_server_status returns an authentication error
Verify your PRODUCT_HUNT_TOKEN value is the Developer Token (not an OAuth client secret) from https://www.producthunt.com/v2/oauth/applications and that it has not expired.
product-hunt-mcp command not found after pip install
Ensure the Python bin directory is on your PATH. Run `pip show product-hunt-mcp` to find the install location, then add that directory's bin/ folder to PATH, or use `python -m product_hunt_mcp` as the command in the config.
Rate limit errors when fetching many posts or comments
Product Hunt's API enforces rate limits per token. Add short delays between bulk operations or paginate requests using the built-in cursor/page arguments on get_posts and get_post_comments.
Frequently Asked Questions about Product Hunt
What is Product Hunt?
Product Hunt is a Model Context Protocol (MCP) server that π π - mcp server for product hunt. interact with trending posts, comments, collections, users, and more. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Product Hunt?
Follow the installation instructions on the Product Hunt GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Product Hunt?
Product Hunt works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Product Hunt free to use?
Yes, Product Hunt is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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