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AnswerRail AEO, Schema.org & /llms.txt Audit MCP

io.github.quitegoodproject/answerrail-mcp · v1.2.7

6-category AI readiness, Schema.org, robots.txt, /llms.txt & 25k-token audit + auto-fix MCP server

Connect Remote server

Terminal
claude mcp add --transport http answerrail-mcp https://answerrail.com/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "answerrail-mcp": {
      "url": "https://answerrail.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "answerrail-mcp": {
      "type": "http",
      "url": "https://answerrail.com/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://answerrail.com/mcp

Tools 5 found in our last check

  • audit_local_codebase

    Inspects a local project directory on disk (checking package.json, public/robots.txt, public/llms.txt, and public/.well-known/ai-catalog.json) and returns a Markdown compliance report with per-file pass/fail status, a 6-line /llms.txt preview, and remediation links. Use this too…

  • audit_ai_readiness

    Audits a live website URL or domain for AI crawler access (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot), 25,000-token HTML RAG truncation, /llms.txt presence, Schema.org JSON-LD entities, and Google Lighthouse 13.5 /.well-known/ai-catalog.json compliance. Returns a structure…

  • generate_ai_manifests

    Synthesizes a 6-line /llms.txt documentation index preview and a Google Lighthouse 13.5 /.well-known/ai-catalog.json (ARD 1.0) JSON preview from a live remote domain, returning both code blocks in Markdown alongside remediation links. Use this tool when a user wants to preview t…

  • extract_byte0_markdown

    Strips JavaScript hydration payloads, theme DOM bloat, and inline SVGs/CSS from a live web page URL, returning clean GitHub-Flavored Markdown (GFM) with front-loaded Schema.org tables that fit within the 25,000-token LLM context window. Use this tool when you need to read the ac…

  • query_truncation_benchmark

    Retrieves statistical summary data and domain-level findings from the 2026 50-Site SaaS & E-Commerce AI Truncation Study, returning a Markdown report with JSON metrics on 25,000-token RAG cutoff rates (74%), visible price omission (62%), /llms.txt adoption (87%), and ARD 1.0 ado…

Details

Endpointhttps://answerrail.com/mcp (Streamable HTTP)
Package[email protected] (NPM, stdio)
First published29 Oct 2026
Last updated29 Oct 2026
Registry nameio.github.quitegoodproject/answerrail-mcp

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