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answerrail-mcp

v1.2.6

Published

All-in-one 6-Category Structural AI Readiness Audit & Auto-Remediation MCP Server for Claude Desktop, Claude Code & Cursor: scans 20+ Schema.org JSON-LD types, 14+ robots.txt AI bot rules, /llms.txt, /.well-known/ai-catalog.json (ARD 1.0) & 25k-token pric

Vulnerabilities

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  • 0Medium
  • 0Low

Links

Git

Maintainers

barnsby.tarquinbarnsby.tarquin

Keywords

mcpmcp-servermodel-context-protocolai-readinessagent-readinesswebsite-scannerllms.txtllms-txtai-catalog.jsonard-1.0lighthouse-13.5agentic-browsingschema-orgrobots-txtclaudeclaude-desktopclaude-codecursorisagentreadyanswerrailanswerrail-mcpaeogeoai-search

Readme

answerrail-mcp — 6-Category Structural AI Readiness, Schema.org, robots.txt & /llms.txt Audit + Auto-Remediation MCP Server

npm version License: MIT MCP

Comprehensive Model Context Protocol (MCP) server for exhaustive local and live structural audits across 6 weighted AI readiness categories—plus active file generation inside Claude Code, Claude Desktop, Cursor, and Windsurf. No API key required.

Quick Install for Claude Code, Claude Desktop & Cursor

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

| Client | Easiest Install Command / Config | | :--- | :--- | | Claude Code CLI | claude mcp add answerrail-mcp -- npx -y answerrail-mcp | | Claude Desktop | "answerrail-mcp": { "command": "npx", "args": ["-y", "answerrail-mcp"] } | | Cursor / Windsurf | Add npx -y answerrail-mcp in .cursor/mcp.json |

Exhaustive 6-Category Weighted Structural Audit Scope

Unlike read-only 5-category scanners, answerrail-mcp performs a 6-category deep structural audit and actively writes the missing files into your repository:

  1. AI Bot Directives (robots.txt — 14+ Major AI Crawlers + Agentmap:): Audits exact RFC 9309 allow/disallow rules for 14+ AI user-agents (PerplexityBot, OAI-SearchBot, GPTBot, ChatGPT-User, ClaudeBot, Claude-User, Google-Extended, Applebot-Extended, Meta-ExternalAgent, Amazonbot, DuckAssistBot, Cohere-ai, Bytespider, CCBot) and verifies Agentmap: header/file declarations.
  2. Search Signals & Structured Data (Schema.org JSON-LD — 20+ High-Value Entity Types): Scans and validates 20+ Schema.org types (Organization, SoftwareApplication, WebSite, Product, Offer, AggregateOffer, FAQPage, Question, Answer, TechArticle, Article, BreadcrumbList, HowTo, Service, LocalBusiness, Person, Dataset, WebPage, ItemList, Review) and synthesizes them into Byte-0 GitHub-Flavored Markdown tables.
  3. Deep /llms.txt & /llms-full.txt Structural Validation: Audits H1 title conformance, blockquote summary presence, Markdown link formatting, HTTP Content-Type: text/markdown headers, and entry quality.
  4. Content Semantics & 25,000-Token RAG Truncation: Measures raw HTML token weight, Next.js self.__next_f.push RSC hydration bloat, collapsed Radix/Headless UI (data-state="closed") FAQ accordions, and exact $/£/€ pricing tokens dropped past the 25,000-token cutoff.
  5. Agent Protocols (Google Lighthouse 13.5 ARD 1.0 & WebMCP): Validates /.well-known/ai-catalog.json (specVersion: "1.0"), <link rel="ai-catalog">, <link rel="describedby" href="/llms.txt">, and /.well-known/mcp.json.
  6. Security & Cryptographic Provenance (RFC 9421 & RFC 9110): Audits asymmetric Ed25519 HTTP Message Signatures (kid="ar_ed25519_2026_k1"), /.well-known/http-message-signatures-directory, CORS (Access-Control-Allow-Origin: *), and RFC 9110 Vary: User-Agent, Accept compliance.

Head-to-Head Comparison: answerrail-mcp vs isagentready-mcp

| Feature / Metric | answerrail-mcp | isagentready-mcp | | :--- | :--- | :--- | | Install Command | claude mcp add answerrail-mcp -- npx -y answerrail-mcp | claude mcp add isagentready-mcp -- npx -y isagentready-mcp | | Core Audit Scope | 6 Weighted Categories: AI Bot Directives (robots.txt), Search Signals (Schema.org JSON-LD), Deep /llms.txt Structure, Content Semantics & 25k-Token Truncation, Agent Protocols (ARD 1.0 / WebMCP), and Security (RFC 9421 Ed25519) + Edge Remediation | 5 Categories (Discovery, Structured Data, Semantics, Agent Protocols, Security — Read-only score) | | Schema.org & robots.txt Coverage | Scans 20+ Schema.org JSON-LD types & 14+ AI bot rules in robots.txt (plus compiles JSON-LD into Byte-0 GFM tables) | Scans 17 Schema.org types & 13 AI bot rules | | /llms.txt Validation & Auto-Generation | Validates /llms.txt formatting/links AND generates ready-to-save /llms.txt + /.well-known/ai-catalog.json via generate_ai_manifests | Read-only structural check (Does not generate files) | | 25,000-Token Truncation & Price Recall Audit | Yes — Identifies exact $/£/€ prices cut off past 25k tokens & unrolls collapsed Radix FAQ accordions | No | | Editor Auto-Fix & Local CLI Companion | Generates & writes files locally (generate_ai_manifests + npx test-ai-ready <url> --write) AND deploys instant Anycast edge fixes | Relies on manual editor prompts after read-only API scan |