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Reputation Intelligence Server

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Analyzes and compares product reputation using data from Reddit, Hacker News, and YouTube, providing sentiment and dimensional scores.

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Описание

Analyzes and compares product reputation using data from Reddit, Hacker News, and YouTube, providing sentiment and dimensional scores.

README

An MCP (Model Context Protocol) server that gives AI agents access to real-time product reputation intelligence from Reddit, Hacker News, and YouTube.

Built on top of the x402 Product Reputation API.

Tools

Tool Description
analyze_product Full reputation report with dimensional scoring (0-100)
compare_products Head-to-head comparison of 2-5 products
monitor_sentiment Quick 7-day sentiment pulse

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "reputation": {
      "command": "npx",
      "args": ["tsx", "/path/to/reputation-mcp-server/src/index.ts"]
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "reputation": {
      "command": "npx",
      "args": ["tsx", "/path/to/reputation-mcp-server/src/index.ts"]
    }
  }
}

Build & Run

npm install
npm run build
npm start

Development

npm run dev

Test with MCP Inspector

npm run inspect

Environment Variables

Variable Default Description
REPUTATION_API_URL https://x402-reputation-api-production.up.railway.app API base URL
REPUTATION_API_KEY (empty) Optional API key for authenticated access

Example Usage

Once connected, ask your AI assistant:

  • "Analyze the reputation of Supabase"
  • "Compare Vercel vs Netlify vs Cloudflare Pages"
  • "What's the current sentiment around Cursor IDE?"
  • "Should I use Firebase or Supabase for my new project?"

How It Works

User → AI Agent (Claude/ChatGPT) → MCP Server → x402 Reputation API → Reddit + HN + YouTube
                                                                          ↓
                                                                    Claude Sonnet LLM
                                                                          ↓
                                                                 Structured Report ← ← ←

Data Sources

  • Reddit — Public JSON API, community discussions and reviews
  • Hacker News — Algolia API, developer-focused commentary
  • YouTube — Data API v3 + transcript extraction, video reviews

Links

License

MIT

from github.com/andichen0420/reputation-mcp-server

Установка Reputation Intelligence Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/andichen0420/reputation-mcp-server

FAQ

Reputation Intelligence Server MCP бесплатный?

Да, Reputation Intelligence Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Reputation Intelligence Server?

Нет, Reputation Intelligence Server работает без API-ключей и переменных окружения.

Reputation Intelligence Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Reputation Intelligence Server в Claude Desktop, Claude Code или Cursor?

Открой Reputation Intelligence Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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