MCP server
AI Visibility Audit — Can AI crawlers read and cite your site?
app.rowb.ai-visibility/audit
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
One-call audit: robots.txt AI-bot rules, llms.txt, JSON-LD, meta tags, sitemap. Score plus fixes.
Working at last checkVerified publisher: rowb.appAbout 135 tokens per request once connected1 tools
https://ai-visibility.rowb.app/mcp
At a glance
- Type
- MCP server
- Publisher
- rowb.app (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 1
- Token cost
- About 135 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http audit https://ai-visibility.rowb.app/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.audit] url = "https://ai-visibility.rowb.app/mcp"
Gemini CLI
{"mcpServers":{"audit":{"httpUrl":"https://ai-visibility.rowb.app/mcp"}}}
Cursor
{"mcpServers":{"audit":{"url":"https://ai-visibility.rowb.app/mcp"}}}
VS Code
{"servers":{"audit":{"type":"http","url":"https://ai-visibility.rowb.app/mcp"}}}
Antigravity
agy mcp add audit https://ai-visibility.rowb.app/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"audit","server_url":"https://ai-visibility.rowb.app/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"audit","server_url":"https://ai-visibility.rowb.app/mcp"}
Tools
audit_website~135 tokens
Audit whether AI crawlers may read a site and whether AI search can cite it. Checks robots.txt bot rules (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot …), llms.txt, JSON-LD, meta tags and sitemap. Returns {score, grade, blocked_bots, findings[], fixes[]}.
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