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AnswerRail MCP Server

AnswerRail MCP Server

by quitegoodproject
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

answerrail-mcp — 6-Category Structural AI Readiness, Chrome Lighthouse 13.5 ard-schema, robots.txt & 25k-Token Truncation MCP Server

npm version License: MIT MCP

Model Context Protocol (MCP) server for 6-category AI search readiness and Chrome Lighthouse 13.5 agentic-browsing (llms-txt & ard-schema) diagnostics inside Claude Code, Claude Desktop, Cursor, Windsurf, and LobeHub. Zero API key required.

Quick Install (Local stdio or Zero-Install Remote HTTP MCP)

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

Client

Configuration

Claude Code CLI

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

Claude Desktop / Cursor

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

Remote Streamable HTTP MCP

POST https://answerrail.com/mcp

Related MCP server: Crawl Readiness MCP Server

Included MCP Tools

  1. audit_ai_readiness: Audits any live URL across 6 weighted categories: 14+ robots.txt AI crawler directives + Agentmap:, 20+ Schema.org JSON-LD entity types, /llms.txt format, 25,000-token HTML RAG truncation & dropped $/£/€ price recall, Chrome Lighthouse 13.5 /.well-known/ai-catalog.json (ard-schema), and RFC 9421 Ed25519 provenance.

  2. generate_ai_manifests: Compiles a 6-line diagnostic preview of /llms.txt and ARD 1.0 /.well-known/ai-catalog.json + direct 2-tier remediation links.

  3. extract_byte0_markdown: Strips React/Next.js RSC hydration scripts and DOM bloat from any URL into clean Byte-0 GitHub-Flavored Markdown.

  4. query_truncation_benchmark: Queries empirical data from the 2026 50-Site SaaS Pricing & 25k-Token Truncation Study.

  5. audit_local_codebase: Read-only local repository check for robots.txt, public/llms.txt, and public/.well-known/ai-catalog.json.

2-Tier Remediation, Hormozi Tiers & Free Diagnostic Tools

Entity Disambiguation: AnswerRail (https://answerrail.com) by The Quite Good Project is unaffiliated with AnswerRails (answerrails.com, an unrelated WordPress chatbot plugin).

Available Tools

5 tools
audit_ai_readinessAudit Website AI Crawler & Lighthouse 13.5 ReadinessA
Read-onlyIdempotent
Inspect

Audits a 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 Agentic Browsing (/.well-known/ai-catalog.json ARD 1.0). Use this tool first when diagnosing why a site is omitted or misquoted by ChatGPT, Perplexity, or Claude. Do not use this tool to extract full-page Markdown content (use extract_byte0_markdown instead) or to generate static manifest files (use generate_ai_manifests instead). Read-only network check; requires no API key.

Inputs: url (required).

audit_local_codebase_and_generateAudit Local Codebase (20+ Schema.org & 14+ AI Bot Rules) & Generate /llms.txt + ai-catalog.jsonB
Idempotent
Inspect

Performs a deep local filesystem structural compliance audit across 6 weighted categories (scanning local robots.txt against 14+ AI crawler directives, scanning local HTML/TSX/JSX files across 20+ Schema.org JSON-LD entity types, validating /llms.txt syntax, and checking ARD 1.0 /.well-known/ai-catalog.json) and actively generates compliant /llms.txt and /.well-known/ai-catalog.json files in the target project directory.

Inputs: targetDir (required), outputAll.

extract_byte0_markdownExtract Clean Byte-0 Markdown & Schema Tables from URLA
Read-onlyIdempotent
Inspect

Strips React/Next.js hydration scripts, Shopify Liquid/WordPress DOM bloat, and inline SVGs/CSS from any URL, returning clean Byte-0 GitHub-Flavored Markdown (GFM) with front-loaded Schema.org tables. Use this tool when you need to read a web page or pricing table inside an LLM context window without exceeding the 25,000-token truncation limit. Do not use this tool if you only need a diagnostic readiness score or robots.txt check (use audit_ai_readiness instead). Read-only HTTP extraction; requires no API key.

Inputs: url (required).

generate_ai_manifestsGenerate /llms.txt & Lighthouse 13.5 ai-catalog.json ManifestsA
Read-onlyIdempotent
Inspect

Compiles ready-to-save /llms.txt documentation index and Google Lighthouse 13.5 /.well-known/ai-catalog.json (ARD 1.0) JSON manifests from a live domain, plus HTML and robots.txt Agentmap snippets. Use this tool when a developer wants to remediate missing discovery manifests identified by audit_ai_readiness. Do not use this tool for general web scraping (use extract_byte0_markdown instead). Read-only synthesis; requires no API key and does not modify remote servers.

Inputs: domain (required).

query_truncation_benchmarkQuery 2026 50-Site SaaS AI Truncation & /llms.txt BenchmarkA
Read-onlyIdempotent
Inspect

Retrieves empirical benchmark telemetry from the 2026 50-Site SaaS & E-Commerce AI Truncation Study (measuring raw HTML token weight, 25,000-token Perplexity/ChatGPT cutoff truncation, visible price omission, /llms.txt adoption, and Lighthouse 13.5 ARD 1.0 adoption). Use this tool when comparing a site against industry peers (such as Stripe, Vercel, Datadog, or Shopify) or answering research questions about the Static /llms.txt Paradox. Do not use this tool to run a live scan on an arbitrary unbenchmarked URL (use audit_ai_readiness instead). Read-only benchmark lookup; requires no API key.

Inputs: domain.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    Claude Code, inside the Godot 4 editorFlockbay puts an AI agent in the real Godot 4 editor: it writes GDScript, runs your game and fixes what breaks. Free, or bring your own Claude Code or Codex.flockbay.comAd

    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation4/5

    The five tools mostly target distinct actions: local audit+generation, remote readiness audit, Markdown extraction, manifest synthesis, and benchmark lookup. The main overlap is between audit_local_codebase_and_generate and generate_ai_manifests, since both produce /llms.txt and ai-catalog.json artifacts; the descriptions differentiate local vs. live-domain generation, but an agent could still hesitate between them.

    Naming Consistency4/5

    All names use snake_case and begin with a verb, producing a predictable verb_noun pattern overall. audit_local_codebase_and_generate is a long compound action with an embedded conjunction, and extract_byte0_markdown embeds a brand token, which are minor deviations from the cleaner pattern used by the other tools.

    Tool Count5/5

    Five tools is well within a focused, useful range for an AI-readiness auditing server. Each tool covers a distinct stage of the workflow: local audit, remote diagnosis, content extraction, manifest generation, and benchmark comparison.

    Completeness4/5

    The surface covers the core lifecycle: diagnose readiness, extract clean content, generate remediation manifests, audit local files, and compare against benchmarks. Minor gaps include no batch/multi-URL comparison tool and no explicit post-generation validation for remotely deployed manifests, but agents can work around these with the existing tools.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

    Resources

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