What do I need to use it?
Python 3.10+ and a Product Hunt API token from the API Dashboard.
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"jaipandya_producthunt-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"product-hunt-mcp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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 MCP‑compatible 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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