sarefe12-sudo/visibilityradar-mcp

Analyze how AI models see your brand — directly from Claude Desktop, Cursor, Windsurf, or any MCP-compatible AI assistant.

npm version License: MIT sarefe12-sudo/visibilityradar-mcp MCP server

What is this?

VisibilityRadar measures how often and how positively AI models (Claude, GPT-4o, Gemini, Perplexity, Grok, DeepSeek) mention your brand. This MCP server brings that analysis directly into your AI assistant — no browser needed.

Ask Claude: "How visible is my brand on AI models compared to my competitors?" and get an instant, structured report.

Tools

Tool	Description
analyze_brand	Run a full AI visibility analysis: overall score, per-model scores, sentiment, competitors, top recommendations
get_brand_history	Fetch past analysis results and score trends for a brand

Requirements

• Pro or Agency plan on VisibilityRadar
• An API key from Account Settings → MCP API Keys

Setup

1. Get your API key

Go to visibilityradar.ai/profile → scroll to MCP API Keys → click Generate Key.

2. Configure your AI assistant

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "visibilityradar": {
      "command": "npx",
      "args": ["visibilityradar-mcp"],
      "env": {
        "VR_API_KEY": "vr_your_api_key_here"
      }
    }
  }
}

Cursor

Edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "visibilityradar": {
      "command": "npx",
      "args": ["visibilityradar-mcp"],
      "env": {
        "VR_API_KEY": "vr_your_api_key_here"
      }
    }
  }
}

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "visibilityradar": {
      "command": "npx",
      "args": ["visibilityradar-mcp"],
      "env": {
        "VR_API_KEY": "vr_your_api_key_here"
      }
    }
  }
}

3. Restart your AI assistant

After saving the config, restart Claude Desktop / Cursor / Windsurf. You should see VisibilityRadar listed as a connected tool.

Example Usage

Once connected, just ask your AI assistant:

Analyze the AI visibility of "Notion" in the US market, compare against Obsidian and Roam Research

What is the brand history for "Linear"?

How does "Shopify" score across AI models compared to WooCommerce?

Example Output

# AI Visibility Report: Notion

**Overall Score: 74/100** (Strong)
**Market:** US
📊 Sentiment: 68% positive · 24% neutral · 8% negative

## Per-Model Scores
  • Claude: 82/100
  • GPT-4o: 78/100
  • Gemini: 71/100
  • Perplexity: 69/100
  • Grok: 74/100
  • DeepSeek: 66/100

## Competitor Comparison
  • Obsidian: 58/100
  • Roam Research: 41/100

## Top Recommendations
  1. [HIGH] Build a stronger Wikipedia presence with product comparisons
  2. [HIGH] Earn more coverage on tech publications indexed by Perplexity
  3. [MEDIUM] Increase presence on X/Twitter for Grok visibility

---
📊 Full report, playbook & content strategy: https://visibilityradar.ai/dashboard

Rate Limits

Plan	Daily MCP analyses	Monthly analyses
Pro	5/day	10/month
Agency	20/day	Unlimited

Every analyze_brand call via MCP counts as one analysis and is saved to your dashboard automatically.

API Endpoints

The MCP server calls the following VisibilityRadar API endpoints:

• POST https://visibilityradar.ai/api/mcp/analyze — Run analysis
• GET https://visibilityradar.ai/api/mcp/history — Fetch history

Authentication uses the x-api-key header with your API key.

Links

• VisibilityRadar
• Pricing
• FAQ
• npm package

License

MIT