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sarefe12-sudo

visibilityradar-mcp

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.

Related MCP server: ai-visibility-mcp

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

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.

License

MIT

Install Server
A
license - permissive license
A
quality
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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