MCP.Market

AI Visibility MCP server

by sharozdawa·io.github.sharozdawa/ai-visibility·v1.0.0·9 stars
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Track brand visibility across ChatGPT, Perplexity, Claude, and Gemini.

B75/100grade B
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Safety scan
B75/100

full report

Adoption
New

9 stars49 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

AI Visibility tools (6)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • check_brand_visibility

    Check a brand's visibility across AI platforms (ChatGPT, Perplexity, Claude, Gemini). Simulates realistic queries and analyzes mention rates, positions, sentiment, and competitor landscape.

  • check_single_query

    Check if a brand is mentioned for a specific query on a specific AI platform. Returns mention status, position, context snippet, sentiment, and competitor mentions.

  • compare_brands

    Compare the AI visibility of multiple brands side by side. Shows per-platform scores, overall rankings, and relative strengths.

  • get_recommendations

    Get actionable recommendations to improve a brand's AI visibility. Prioritized suggestions based on current score and industry best practices.

  • get_visibility_score

    Calculate an overall AI visibility score (0-100) for a brand across all four AI platforms. Includes per-platform breakdowns and improvement recommendations.

  • list_platforms

    List all supported AI platforms with details about how each sources and presents brand information.

Public scan report

scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan6 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 190 days ago4/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 75/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How AI Visibility compares

Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
75/100
higher than 45% of 3,472 Web search servers
Tools
6
the typical Web search server has 5
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
9
more than 85% of 1,783 Web search servers
Downloads a week
49
more than 36% of 816 Web search servers with a package

What its tools let an agent do: 6 read

Install AI Visibility in Claude Code, Cursor or VS Code

Runs npx -y ai-visibility-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add ai-visibility -- npx -y ai-visibility-mcp
Add to Cursor

What the publisher says

From the AI Visibility repository's README, as published. We do not edit it. Read it on GitHub

Know exactly how AI platforms talk about your brand. Track mentions, sentiment, position, and competitors across the AI platforms that shape buying decisions.

Features

  • Multi-Platform Tracking — Monitor visibility across ChatGPT, Perplexity, Claude, and Gemini simultaneously
  • Visibility Scoring — Get a 0-100 score with tier ratings (Excellent / Good / Moderate / Low / Very Low)
  • Sentiment Analysis — Understand whether AI platforms describe your brand positively, neutrally, or negatively
  • Competitor Intelligence — See which competitors appear alongside your brand in AI responses
  • Brand Comparison — Compare up to 10 brands side by side with per-platform breakdowns
  • Actionable Recommendations — Get prioritized steps to improve your AI visibility
  • MCP Server — Works with Claude Desktop, Cursor, and any MCP-compatible client
  • Consistent Results — Seeded randomness ensures reproducible results for the same brand

MCP Server Installation

Claude Desktop

Add to your claudedesktopconfig.json:

{
  "mcpServers": {
    "ai-visibility": {
      "command": "npx",
      "args": ["-y", "ai-visibility-mcp"]
    }
  }
}

Cursor

Add to your Cursor MCP settings (.cursor/mcp.json):

{
  "mcpServers": {
    "ai-visibility": {
      "command": "npx",
      "args": ["-y", "ai-visibility-mcp"]
    }
  }
}

npx (standalone)

npx ai-visibility-mcp

MCP Tools

How Scoring Works

The visibility score (0-100) is calculated from three components:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

AI Visibility: common questions

Is AI Visibility MCP server safe?
Mostly: it is graded B (75/100). Read the AI Visibility safety report
How do I install AI Visibility?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does AI Visibility need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is AI Visibility maintained?
The last commit was 225 days ago (2026-03-22). The latest release is v1.0.0.
What can I use instead of AI Visibility?
Servers from other publishers that do the same job: GEO Tracker by DigestSEO MCP server, Perplexity API Platform (moved to ai.perplexity/mcp-server) and Perplexity API Platform MCP server.
How does AI Visibility compare with other Web search MCP servers?
safety score 75/100 (higher than 45% of 3,472 Web search servers); tools 6 (the typical Web search server has 5); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to AI Visibility

Same job from other publishers: the closest match first, then the best rated.

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