What do I need to use it?
Python 3.10+ and a Product Hunt API token from the API Dashboard.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"jaipandya_producthunt-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"product-hunt-mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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`.

Model Context Protocol Servers

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