io.github.quitegoodproject/answerrail-mcp

up checked 2026-11-11T10:39:18.698Z

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Publisher-provided title

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

Publisher-provided description

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

Summary by lookupd

Audits websites and local projects for AI crawler access, llms.txt presence, and Schema.org readiness, and can extract clean Markdown from…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http answerrail https://answerrail.com/mcp

Claude Code, npm package (stdio)

claude mcp add answerrail -- npx -y answerrail-mcp

Codex, remote (streamable-http)

codex mcp add answerrail --url https://answerrail.com/mcp

Codex, npm package (stdio)

codex mcp add answerrail -- npx -y answerrail-mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "answerrail": {
      "url": "https://answerrail.com/mcp"
    }
  }
}

Cursor, npm package (stdio) → .cursor/mcp.json

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

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (5 tools)

Publisher-provided text

• 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 Mar
• 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 presenc
• 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 d
• 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-l
• 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

Details

• Version: 1.2.7
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 718 ms
• First indexed: 2026-11-01T09:50:33.350Z
• Last seen in registry: 2026-11-01T09:50:33.350Z
• Repository: https://github.com/quitegoodproject/answerrail-mcp
• Website: https://answerrail.com

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