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jaipandya/producthunt-mcp-server

jaipandya/producthunt-mcp-server

🐍 🏠 - Interact with Product Hunt trending posts, comments, collections, users and more
在 GitHub 查看 ↗直链 · 无中转页
官方说明Product Hunt MCP Server A plug-and-play MCP server for Product Hunt** Quick Install ‍ Quick Start Example What is this?
配置模板(请按你的客户端调整)
claude mcp add producthunt-mcp-server -- npx -y producthunt-mcp-server
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
55 ★ · jaipandya/producthunt-mcp-server · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 55 ★ · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 jaipandya/producthunt-mcp-server;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

🚀 Product Hunt MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> **A plug-and-play MCP server for Product Hunt**
---
📦 Quick Install
🏃‍♂️ Quick Start Example
---
✨ What is this?
**Product Hunt MCP Server** connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). Perfect for AI assistants, chatbots, or your own automations!
- 🔍 Get posts, collections, topics, users
- 🗳️ Get votes, comments, and more
- 🛠️ Use with Claude Desktop, Cursor, or any MCP client
---
🛠️ Features
- Get detailed info on posts, comments, collections, topics, users
- Search/filter by topic, date, votes, etc.
- Paginated comments, user upvotes, and more
- Built with FastMCP for speed and compatibility
---
🧑‍💻 Who is this for?
- **AI/LLM users**: Plug into Claude Desktop, Cursor, or your own agent
- **Developers**: Build bots, dashboards, or automations with Product Hunt data
- **Tinkerers**: Explore the MCP ecosystem and build your own tools
---
🏁 Setup
Prerequisites
- Python 3.10+
- Product Hunt API token (get one here)
- You'll need to create an account on Product Hunt
- Navigate to the API Dashboard and create a new application
- Use the Developer Token for the token
> **Note:** When creating a new application on Product Hunt, you will be asked for a redirect_uri. While the MCP server does not use the redirect URI, it is a required field. You can enter any valid URL, such as https://localhost:8424/callback.
Installation
**Preferred: uv (fast, modern Python installer)**
Install from PyPI (recommended)
Install from GitHub (latest main branch)
Install locally from source
---
🚀 Usage with Claude Desktop & Cursor
Once installed, the product-hunt-mcp command will be available. Add it to your Claude Desktop or Cursor configuration:
- Replace your_token_here with your actual Product Hunt API token.
- The token **must** be set as an environment variable in your Claude Desktop or Cursor config for the server to authenticate.
- Always restart your client (Claude Desktop/Cursor) after editing the config file.
> **Tip:** On macOS, Claude Desktop may not always find the product-hunt-mcp command if it's not in the default PATH. If you encounter issues, you can provide the full path to the executable. After installing, run:
>
>
>
> Use the output path in your Claude Desktop config, replacing "command": "product-hunt-mcp" with the full path (e.g., "command": "/Users/youruser/.local/bin/product-hunt-mcp").
Finding your configuration file
- **Claude Desktop**:
- Windows: %APPDATA%\claude-desktop\config.json
- macOS: ~/Library/Application Support/claude-desktop/config.json
- Linux: ~/.config/claude-desktop/config.json
- **Cursor**:
- Windows: %APPDATA%\Cursor\User\settings.json
- macOS: ~/Library/Application Support/Cursor/User/settings.json
- Linux: ~/.config/Cursor/User/settings.json
Docker
You can also run the server using Docker:
For Claude Desktop/Cursor integration with Docker, use this configuration:
> **Security Note:** Your PRODUCT_HUNT_TOKEN is sensitive. Do not share it or commit it to version control.
---
🛠️ MCP Tools
| Tool | Description | Key Parameters |
|---------------------|---------------------------------------------|----------------|
来源
awesome · https://github.com/jaipandya/producthunt-mcp-server
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