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Producthunt MCP Server
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Producthunt MCP Server

The Product Hunt MCP Server is a plug-and-play MCP protocol service that connects the Product Hunt API with any LLM or agent that supports the MCP protocol to obtain information about posts, collections, topics, users, etc.
Artificial intelligence chatbotsDeveloper tools#Product search#API integration#AI tools#Data acquisition.Python
2 points
14

What is the Product Hunt MCP Server?

The Product Hunt MCP Server is a plugin-based server that connects the Product Hunt API with any large language model (LLM) or intelligent agent that supports the Model Context Protocol (MCP). It allows you to easily obtain detailed information about products, reviews, users, topics, etc.

How to use the Product Hunt MCP Server?

After installation, you can start using it by setting environment variables and running the server. You can query information about products, reviews, topics, etc. through the command-line tool.

Applicable scenarios

Suitable for building AI assistants, chatbots, or automation tools. For example, you can create an intelligent system that recommends products based on user interests.

Main features

Get product detailsQuery detailed information about a specific product, including the number of reviews, likes, etc.
Get reviewsGet the reviews of a product based on its ID or slug.
Search topicsSearch for popular topics related to specific keywords.
User information queryGet detailed information about a specified user, such as the number of products published.
Support paginationPerform pagination on content such as reviews and likes.

Advantages and limitations

Advantages
Quickly integrate into the existing MCP ecosystem.
Support multiple filter conditions to facilitate data filtering.
Powerful pagination function, suitable for handling large amounts of data.
Compatible with mainstream AI platforms (such as Claude Desktop, Cursor).
Limitations
An API key needs to be set to use it.
Subject to the rate limits of the Product Hunt API.
Some advanced features may require additional permissions.

How to use

Install the server
Use pip to install the Product Hunt MCP Server.
Set environment variables
Before running the server, make sure to set the PRODUCT_HUNT_TOKEN environment variable.
Start the server
Run the command to start the MCP server.

Usage examples

Recommend popular technology productsQuery recently published technology products and display relevant information.
Get user like recordsQuery the products liked by a user in the past week.

Frequently Asked Questions

How to obtain a Product Hunt API key?
Why can't I connect to the server?
Will the server be subject to rate limits?

Related resources

Product Hunt API documentation
Official API documentation.
Model Context Protocol (MCP) official website
Understand the basics of the MCP protocol.
GitHub project homepage
View source code and submit issues.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "product-hunt": {
      "command": "product-hunt-mcp",
      "env": {
        "PRODUCT_HUNT_TOKEN": "your_token_here"
      }
    }
  }
}

{
  "mcpServers": {
    "product-hunt": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "PRODUCT_HUNT_TOKEN=your_token_here", "product-hunt-mcp"],
      "env": {}
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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