AEO tools for AI agents: crawler permissions, llms.txt, structured data, AI-readiness audit.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Aeo MCP.
audit_url0-100 score, grade, category breakdown, failed/warned checks with fixes
check_ai_crawlersPer-bot allow/block verdicts with the matching rule, plus sitemaps
inspect_llms_txtTitle, summary, sections with links, structural issues, raw excerpt
extract_structured_dataJSON-LD types, key fields per node, parse errors
extract_page_signalsTitle, meta description, h1, canonical, lang, text ratio, heading outline, client-side-rendering flag
An MCP server that gives AI agents β Claude, Claude Code, Cursor, anything speaking the Model Context Protocol β tools to inspect a website's visibility to AI answer engines. Crawler permissions, llms.txt, structured data, on-page signals, and a full 29-check AI-readiness audit (powered by answer-audit), each one tool call away. Read-only, no API keys, no telemetry.

Real session: Claude Desktop discovers The Verge allows GPTBot (OpenAI licensing deal) while blocking ClaudeBot, PerplexityBot, Google-Extended, and CCBot β one tool call.
Claude Code
Claude Desktop (claude_desktop_config.json)
Cursor (.cursor/mcp.json)
| Tool | When the agent uses it | Input | Returns |
|---|---|---|---|
audit_url | "How visible is this site to ChatGPT/Perplexity?" β full AEO health check | { url } | 0-100 score, grade, category breakdown, failed/warned checks with fixes |
check_ai_crawlers | "Is GPTBot blocked?" β robots.txt policy per AI bot | { url } | Per-bot allow/block verdicts with the matching rule, plus sitemaps |
inspect_llms_txt | "Does this site have llms.txt? Is it valid?" | { url } | Title, summary, sections with links, structural issues, raw excerpt |
extract_structured_data | "What schema markup does this page have?" | { url } | JSON-LD types, key fields per node, parse errors |
extract_page_signals | "Why do engines misread this page?" | { url } | Title, meta description, h1, canonical, lang, text ratio, heading outline, client-side-rendering flag |
Bots checked by check_ai_crawlers: GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, Bingbot.
The server fetches model-supplied URLs, so it ships with an SSRF guard: http/https only, DNS resolution checked against private and special ranges (loopback, RFC1918, link-local, unique-local, IPv4-mapped forms), re-validation on every redirect hop, 10 s timeout, 2 MB body cap, max 5 redirects. Violations return a clean tool error, never an exception. All tools are read-only and no LLM calls happen inside the server.
Tests include a scripted stdio round-trip (initialize β tools/list β tools/call) against the built server. To inspect interactively:
MIT Β© Arthur Carlson
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