Audit any site for 50+ AI crawlers, generate llms.txt, robots.txt and schema, track AI mentions.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
AI SEO tools inside Claude, Cursor, and other MCP-compatible clients.
Ask Claude "is my site AI-readable?" and it'll actually check β running a live audit against 50+ AI crawlers (ChatGPT, Claude, Perplexity, Google AI, and more). Then ask it to fix what's broken, and it can generate a proper llms.txt, robots.txt, or JSON-LD schema and write it straight into your project.
No more copy-paste between your editor and yet another SEO tool.
Eight tools your AI assistant can call:
Audit (no signup):
check_ai_readiness β Score a site 0β100 against 50+ AI crawlers, with a prioritized fix listvalidate_schema β Audit JSON-LD structured data on any URL (20+ types, per-type rules)validate_robots β Line-by-line robots.txt auditcheck_content_parity β Compare what humans see vs what AI crawlers seeGenerate (requires free API key):
generate_llms_txt β Auto-crawl a site and produce a properly formatted llms.txtgenerate_robots_txt β AI-crawler-aware robots.txt with preset policiesgenerate_schema β Organization / WebSite / Article JSON-LD ready to pasteMonitor (read-only, requires free API key):
get_monitor_trend β See whether ChatGPT, Claude, Perplexity & Google AI mention your brand vs competitors, and how that's trending week over week (reads your LLM Monitor projects; doesn't trigger runs)Open your config file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonAdd this to the mcpServers block:
Restart Claude Desktop. You'll see "crawl-readiness" listed in the tools panel.
Open Cursor Settings β Features β Model Context Protocol β Add new global MCP server.
Same shape β add crawl-readiness to your MCP servers list with npx -y crawl-readiness-mcp as the command.
The four audit tools work out of the box, no signup. The three generator tools need an API key β free at crawlreadiness.com/dashboard (50 checks/month on the free tier, no credit card).
Once you have a key, add it via env in the same config:
Restart the client. All eight tools are now callable.
Once installed, try any of these in your AI client:
/public/llms.txt"Your AI can chain tools automatically β audit, identify issues, fix them, and write files to your project without you copy-pasting anything.
| Env var | Purpose | Default |
|---|---|---|
CRAWL_READINESS_API_KEY | Free API key for generator tools | none |
CRAWL_READINESS_API_BASE | Override the API base URL (for testing) | https://www.crawlreadiness.com |
Each tool returns the full JSON response from the Crawl Readiness API β the same data the web dashboard renders. Your AI has access to:
Crawl Readiness is a suite of AI-SEO tools that check whether AI systems can access your website and help you fix what's blocked. Every generator tool in this MCP server is also available on the web at crawlreadiness.com/tools. The MCP server just makes the same tools callable from inside your AI assistant, so the "audit β fix β apply" loop happens in one conversation without leaving your editor.
npm run release validates server.json and prints the publish steps. The last step uses the mcp-publisher CLI, which is not part of this repository: download it from the MCP Registry releases and keep it on your PATH or in the repo root (it is git-ignored there).
MIT Β© 2026 Crawl Readiness / Tundrastone
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