What do I need to use it?
Python 3.10+ and a Product Hunt API token from the API Dashboard.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"jaipandya_producthunt-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"product-hunt-mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
It connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). It retrieves posts, collections, topics, users, votes, and comments. It is designed for AI assistants, chatbots, and automations.
Install via pip install product-hunt-mcp, set the PRODUCT_HUNT_TOKEN environment variable, then run product-hunt-mcp. Configure MCP clients like Claude Desktop or Cursor by adding the command and token to their config file.
Python 3.10+ and a Product Hunt API token from the API Dashboard.
Set the `PRODUCT_HUNT_TOKEN` environment variable with your developer token.
Claude Desktop, Cursor, and any MCPβcompatible client.
Yes, the Product Hunt API has rate limits; the server informs you and you can check status via `check_server_status`.
When creating a Product Hunt application, a redirect URI is required but can be any valid URL like `https://localhost:8424/callback`.
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