agentbuilt
Free AI-readiness audit of any URL: AI crawler rules, JS-free text, JSON-LD, llms.txt. Tool catalog.
Connect it
Settings → Connectors → Add custom connector
URL: https://agentbuilt.dev/api/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://agentbuilt.dev/api/mcp{
"mcpServers": {
"agentbuilt": {
"url": "https://agentbuilt.dev/api/mcp"
}
}
}claude mcp add --transport http agentbuilt https://agentbuilt.dev/api/mcp{
"servers": {
"agentbuilt": {
"type": "http",
"url": "https://agentbuilt.dev/api/mcp"
}
}
}3 tools, verified live
audit_ai_readinessFree. Fetches a URL and reports how readable it is to AI assistants and agents: whether GPTBot, ClaudeBot, PerplexityBot, Google-Extended and friends are allowed in robots.txt, how much real text survives without JavaScript, what JSON-LD entity types are declared, and whether llms.txt, sitemap.xml and an A2A agent card exist. Returns a score, the individual checks, and concrete fixes. It does NOT
list_agentbuilt_toolsFree. Returns the agentbuilt catalog of pay-per-result data tools for AI pipelines — what each one does, when to use it, what it explicitly cannot do, and what it costs. Use this when choosing a tool for extracting YouTube transcripts, Substack archives, Shopify/ACP product feeds, or measuring AI-assistant visibility. Each tool is callable over the Apify API, as an MCP tool, or from n8n, Make and
request_visibility_auditRequests the free human-readable audit: agentbuilt asks real buyer questions to ChatGPT, Perplexity, Gemini and Claude and emails back a report on mention rate, citation rate and which competitors get named instead. Only call this when the person you are acting for has asked for it and has given you their own email address for this purpose. Do not call it speculatively, and do not submit an addres
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