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Crawl Readiness

@grubbomaticRun by its publisher: served from their own domain, namespace checked by the registry.MCP server · External

Audit any site for 50+ AI crawlers, generate llms.txt, robots.txt and schema, track AI mentions.

AI search visibilityv0.2.4MITJavaScript
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: creates or changes data: records, files, settings.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

npmcrawl-readiness-mcpv0.2.4

Run

npx -y crawl-readiness-mcp

MCP client config

{
  "mcpServers": {
    "crawl-readiness": {
      "command": "npx",
      "args": [
        "-y",
        "crawl-readiness-mcp"
      ]
    }
  }
}
README4 min read

Crawl Readiness MCP Server

AI SEO tools inside Claude, Cursor, and other MCP-compatible 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

Eight 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

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

For Claude Desktop

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:

json
{
  "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.

json
{
  "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:

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

Restart the client. All eight 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"

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


Configuration

Env varPurposeDefault
CRAWL_READINESS_API_KEYFree API key for generator toolsnone
CRAWL_READINESS_API_BASEOverride the API base URL (for testing)https://www.crawlreadiness.com

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
  • 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

Support


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

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