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sarefe12-sudo/visibilityradar-mcp

by Various

MCP server for VisibilityRadar — analyze AI brand visibility from Claude Desktop, Cursor & Windsurf

MCP

sarefe12-sudo/visibilityradar-mcp

Added 4 July 2026

#ai #brand-visibility #claude #cursor #geo #llm #mcp #model-context-protocol

Overview

An MCP server that connects Claude Desktop, Cursor, and Windsurf to VisibilityRadar for analyzing AI brand visibility. It sends queries about brand presence in AI tools and returns structured visibility data.

Best for

Best for
Developers and marketers who need to track brand visibility in AI tools from their coding environment

Use cases

  • Check how often a brand appears in AI tool responses
  • Monitor brand visibility trends across multiple AI platforms
  • Integrate visibility analysis into AI-assisted development workflows

How to use

Tools exposed

  • analyze_brand
  • get_brand_history

Tested with

Claude Desktop, Cursor, Windsurf

Example client config

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

Notes

An MCP server that connects Claude Desktop, Cursor, and Windsurf to VisibilityRadar for analyzing AI brand visibility. It sends queries about brand presence in AI tools and returns structured visibility data.

0 stars on GitHub. Last updated 2026-06-29. Licensed MIT.

Use cases

  • Check how often a brand appears in AI tool responses
  • Monitor brand visibility trends across multiple AI platforms
  • Integrate visibility analysis into AI-assisted development workflows

Pros

  • Works with popular AI coding assistants like Claude Desktop and Cursor
  • Provides structured data for brand visibility analysis
  • Simple MCP protocol integration

Cons

  • No stars or community adoption yet
  • Limited to VisibilityRadar’s data scope
  • Requires MCP-compatible client setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Works with popular AI coding assistants like Claude Desktop and Cursor
  • Provides structured data for brand visibility analysis
  • Simple MCP protocol integration

Cons

  • No stars or community adoption yet
  • Limited to VisibilityRadar's data scope
  • Requires MCP-compatible client setup
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