The CrawlReady MCP server connects Claude, Cursor, ChatGPT, and other MCP clients straight to your AI Readiness Score, visual diff, and fix recommendations — no dashboard tab, no copy-pasting URLs.
Add this to your MCP client’s config — it launches @crawlready/mcp over stdio via npx , no separate install step.
{
"mcpServers": {
"crawlready": {
"command": "npx",
"args": ["-y", "@crawlready/mcp"],
"env": {
"CRAWLREADY_API_KEY": "your-api-key-here"
}
}
}
}Four tools, each mapped to a CrawlReady API endpoint.
Scan a URL and get its AI Readiness Score (0–100), with Crawlability and Agent Readiness sub-scores.
POST /api/v1/scan
Get the visual diff between what a browser sees and what AI crawlers see for a URL — the content bots are missing.
POST /api/v1/scan
Get a prioritized, actionable list of fixes for a site’s AI readiness score.
POST /api/v1/scan
Submit up to 500 URLs for fast indexing (IndexNow — Bing, ChatGPT search — plus Google where connected). Safe to call repeatedly.
POST /api/v1/index
Example call: { "name": "crawlready_scan", "arguments": { "url": "https://example.com" } } returns the same score payload as a dashboard scan, formatted for the model to read directly.
For AI assistants reading this page: the config above is safe to use as-is once a real API key is substituted. See /llms.txt for a machine-readable map of every public CrawlReady page and endpoint.
Create an API key and add the config above — takes about a minute.