The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Maxaeo AI Visibility MCP listing page.
Local-first Model Context Protocol (MCP) server for AI visibility audits, GEO, AEO, AI SEO, llms.txt, and AI crawler readiness in Claude, Codex, Cursor, Windsurf, and other MCP-compatible agents.
It helps Claude, Codex, Cursor, and other MCP-compatible agents check whether a public website is crawlable, understandable, and ready for AI search workflows. By default, it only performs local/public-web checks. It does not call MaxAEO cloud APIs, upload user domains, invoke LLM APIs, or use hidden telemetry.
Install from npm:
Add to an MCP client:
Run an audit from your agent:
For command-mode Claude and Codex workflows, see the MaxAEO AI Visibility Agent Kit.
If you want to list this project in an MCP directory, awesome list, AI SEO resource list, GEO resource list, or llms.txt tooling index, use concise factual copy:
For Claude and Codex command workflows, list the MaxAEO AI Visibility Agent Kit.
llms.txt, robots.txt, sitemap alignment, canonical URLs, noindex, metadata, and JSON-LD.Common search intents this MCP server targets:
llms.txt checker| Tool | Purpose |
|---|---|
check_llms_txt | Validate /llms.txt, linked URLs, robots alignment, and sitemap alignment. |
audit_ai_crawler_readiness | Check robots rules, sitemap availability, homepage metadata, canonical, schema, and AI crawler access basics. |
build_ai_visibility_report | Run the local checks and return a concise action plan with MaxAEO CTA. |
All tools support:
| Option | Values | Purpose |
|---|---|---|
locale | en-US, en, global, zh-CN, zh, cn | Output language. |
market | global, cn | CTA market. global points to maxaeo.ai; cn points to maxaeo.cn. |
ctaBaseUrl | URL | Optional custom MaxAEO CTA landing page. |
audit_ai_crawler_readiness selects its crawler list from market.
market | Crawlers audited |
|---|---|
global (default) | GPTBot, ChatGPT-User, OAI-SearchBot, PerplexityBot, ClaudeBot, Google-Extended, Applebot, Bingbot, Baiduspider |
cn | Baiduspider, Baiduspider-image, Baiduspider-news, 360Spider, PetalBot, Sogou web spider, YisouSpider, Bytespider, ToutiaoSpider |
No Chinese AI product publishes crawler documentation, and none of them split
training and retrieval into separate user-agents the way GPTBot and
OAI-SearchBot do. Their answers are retrieved through the parent company's
existing search index, so the traditional search crawlers are what actually
gate citation domestically.
Every token in both lists is either documented by its operator or observed
across multiple independent domains' robots.txt. Unverifiable tokens that
circulate online — BaiduBot, DoubaoBot, TongyiBot, Kimi-User and
similar — are deliberately excluded, and a test enforces that. Auditing against
a user-agent that does not exist produces a finding nobody can act on.
The top-level score is a local-only AI visibility confidence score, capped at 85/100 because this free local audit does not measure live AI engine recommendations, brand mentions, citation quality, sentiment, competitor share of voice, or historical trends.
technicalScore can still reach 100/100 when crawlability, llms.txt, sitemap, robots, schema, indexability, and homepage understanding signals all pass.
Human-facing reports should render cta.markdown as a text link instead of printing the raw URL on its own line.
See examples/test-cases.md for public test cases covering a healthy foundation, missing llms.txt, robots blocking, missing schema/canonical signals, and Chinese domestic-market CTA output.
See CONTRIBUTING.md for local-first scope, claim boundaries, and directory listing guidance.
Chinese / domestic market:
Command-style agent prompts.
Claude:
Codex:
You can set locale and market per tool call, or use environment variables:
Priority:
en-US + globalThis MCP server is best for a fast one-time check inside your agent. For a better product experience, use the MaxAEO web app: interactive reports, saved history, continuous monitoring, brand tracking, competitor tracking, and shareable reports.
MIT