io.github.Grubbomatic/crawl-readiness

Crawl Readiness MCP Server

An MCP server that checks a website's AI readiness: can ChatGPT, Claude, Perplexity, Google AI and 50+ other AI crawlers access it? Then it generates the fixes (llms.txt, an AI-crawler robots.txt, JSON-LD structured data), reads your LLM Monitor results, and tells you whether a page's published signals permit a use (search, answers, training, agent action), inside Claude Desktop, Cursor, Cline, Windsurf and other MCP clients.

Ask Claude "is my site AI-readable?" and it'll actually check — 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.

What it does

Nine tools your AI assistant can call:

Audit (no signup):

• check_ai_readiness — Score a site 0–100 against 50+ AI crawlers, with a prioritized fix list; extras that don't affect the score are marked as such
• validate_schema — Audit JSON-LD structured data on any URL (20+ types, per-type rules)
• validate_robots — Line-by-line robots.txt audit
• check_content_parity — Compare what humans see vs what AI crawlers see

Permission (no signup):

• check_permission — Ask whether a page may be used for search, answers, training or agent action. Reads robots.txt, Content-Signal, Content-Usage, an RSL licence, the TDM reservation, ai.txt and the page's own noai tags, reports what the server did when a crawler asked, and returns a dated receipt signed with Ed25519. Documented at machinereadiness.com/permission

Generate (requires free API key):

• generate_llms_txt — Auto-crawl a site and produce a properly formatted llms.txt
• generate_robots_txt — AI-crawler-aware robots.txt with preset policies
• generate_schema — Organization / WebSite / Article JSON-LD ready to paste

Monitor (read-only, requires free API key):

• get_monitor_trend — 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)

Install

Claude Desktop, one click

Download crawl-readiness-mcp-<version>.mcpb from the latest release and double-click it (or drag it into the Claude Desktop window). Claude Desktop shows what the extension does and asks for the optional API key. The bundle carries the server and its dependencies, so nothing else is installed.

Claude Code, as a plugin

This repository is also a Claude plugin: the .mcp.json at its root starts the server (pinned to this version), and the ai-readiness skill tells Claude when to use which tool and how to read the results. Add it from the Claude directory once it is listed there. To try it before then, clone the repository and start Claude Code with it loaded:

claude --plugin-dir ./crawl-readiness-mcp

Claude Code asks for the optional API key when the plugin is enabled and keeps it in secure storage; the plugin's own files never contain it.

For Claude Desktop, by hand

Open your config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this to the mcpServers block:

{
  "mcpServers": {
    "crawl-readiness": {
      "command": "npx",
      "args": ["-y", "crawl-readiness-mcp"]
    }
  }
}

Restart Claude Desktop. You'll see "crawl-readiness" listed in the tools panel.

For Cursor

Open Cursor Settings → Features → Model Context Protocol → Add new global MCP server.

{
  "crawl-readiness": {
    "command": "npx",
    "args": ["-y", "crawl-readiness-mcp"]
  }
}

For Cline / Windsurf / Continue

Same shape — add crawl-readiness to your MCP servers list with npx -y crawl-readiness-mcp as the command.

Unlock the generator tools

The four audit tools work out of the box, no signup. The three generator tools need an API key — 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:

{
  "mcpServers": {
    "crawl-readiness": {
      "command": "npx",
      "args": ["-y", "crawl-readiness-mcp"],
      "env": {
        "CRAWL_READINESS_API_KEY": "cr_live_xxxxxxxxxxxx"
      }
    }
  }
}

Restart the client. All nine tools are now callable.

Example prompts

Once installed, try any of these in your AI client:

• "Is my portfolio site AI-readable? URL: yourdomain.com"
• "Check if ChatGPT can see acme-inc.com"
• "Validate the JSON-LD on stripe.com — is anything missing?"
• "Compare what humans see vs what AI crawlers see on producthunt.com"
• "Generate an llms.txt for my site and save it to /public/llms.txt"
• "My site scored 68/100 — walk me through the fixes"
• "May I train on https://example.com/research? Check what the site publishes."
• "Before we build the RAG index, which of these pages reserve AI answers?"

Your AI can chain tools automatically — audit, identify issues, fix them, and write files to your project without you copy-pasting anything.

Configuration

What tools receive from the server

Each tool returns the full JSON response from the Crawl Readiness API — the same data the web dashboard renders. Your AI has access to:

• check_ai_readiness: score, robots.txt status per crawler, structured-data flags, homepage signals, prioritized fix list (fixes marked extra: true are optional and not scored)
• validate_schema: per-block issues (errors, warnings, info), suggested missing types
• validate_robots: line-by-line issues, AI-bot coverage summary
• check_content_parity: verdict + per-crawler HTTP status, word overlap %, warnings
• check_permission: verdict (denied, allowed-under-terms, allowed, unknown) with the reason, every signal as it was read, what the server did when asked as a crawler, and the signed receipt
• generate_llms_txt: the file content + companion robots.txt snippet
• generate_robots_txt: merged robots.txt with the AI policy applied
• generate_schema: JSON-LD scripts for each detected schema type
• get_monitor_trend: per-brand mention rate, share of voice, per-provider breakdown, competitor comparison, trend over time, and short example answers

What this sends, and where

Every tool makes HTTPS requests to https://www.crawlreadiness.com, and check_permission to https://machinereadiness.com (the same service on the standard's own host), and nowhere else. What leaves your machine is the website address (and for the generators, the inputs) you asked about, the API key if you configured one, and a crawl-readiness-mcp/<version> user agent. The server stores nothing locally, runs no other programs, and reads no files; writing a generated file into your project is something your AI client does, with your say-so. The service's own data handling is described at crawlreadiness.com/privacy.

The plugin's .mcp.json starts the published npm package pinned to the same version as the repository (npx -y crawl-readiness-mcp@<version>), so what runs is the code in this repository at that tag.

Support

• Docs: crawlreadiness.com/mcp
• Issues: github.com/Grubbomatic/crawl-readiness-mcp/issues
• Email: support@crawlreadiness.com

About

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 → fix → apply" loop happens in one conversation without leaving your editor.

Releasing (maintainers)

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).

License

MIT © 2026 Crawl Readiness / Tundrastone