ai-visibility-mcp

An MCP server that tells an AI assistant how discoverable a website is to AI search engines and assistants (ChatGPT, Claude, Perplexity, Google AI Overviews).

Point it at a URL and it reports the signals that decide whether those systems can find, read, and cite a site, then rolls them into a skimmable 0-100 score.

What it checks

Signal	Why it matters
AI crawler access in robots.txt	If GPTBot, ClaudeBot, PerplexityBot, etc. are blocked, the site is invisible to those engines
/llms.txt present	A plain-text map of the site's key facts, written for LLMs
Structured data (JSON-LD)	Machine-readable meaning that answer engines lift and cite
sitemap.xml present	Helps crawlers find every page
Title, meta description, H1	Basic on-page signals an engine reads first

Install

git clone https://github.com/draltaway/ai-visibility-mcp
cd ai-visibility-mcp
python -m pip install -e .

Standard-library HTTP only. The single dependency is FastMCP.

Use it from Claude Code

claude mcp add ai-visibility -- ai-visibility-mcp

Use it from Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "ai-visibility": {
      "command": "ai-visibility-mcp"
    }
  }
}

Then ask: "Check the AI visibility of stripe.com."

Example output

{
  "url": "https://stripe.com",
  "score": 90,
  "summary": "Strong: AI engines can find, read, and cite this site.",
  "checks": {
    "ai_crawlers_allowed": true,
    "ai_crawlers_blocked": [],
    "llms_txt": true,
    "sitemap": false,
    "homepage_reachable": true,
    "structured_data": true,
    "title": true,
    "meta_description": true,
    "h1": true
  }
}

The tool

check_ai_visibility(url: str) -> dict returns { url, score, summary, checks }. It accepts a bare host (example.com) or a full URL and defaults to https.

License

MIT. Built by Dallin Rowley.