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

by quitegoodproject Your server? Claim it

answering

AnswerRail AEO, Schema.org & /llms.txt Audit MCP is answering right now. Last checked 13 min ago. 553 installs a week from npm. It exposes 4 tools. Last commit 29 Oct 2026.

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

Installs per day peak 569 · avg 27 · -69% w/w

a month agotoday

Uptime history 10 days of history · worst day 98%

10 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

376 ms

Response time

average over 24h

553

Installs / week

npm and PyPI

AnswerRail AEO, Schema.org & /llms.txt Audit MCP missed 2 checks this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

Settings → Connectors → Add custom connector, then paste this address

https://answerrail.com/mcp

~/.codex/config.toml

[mcp_servers.answerrail-mcp]
url = "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"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

audit

audit_ai_readiness

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.

extract

extract_byte0_markdown

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.

generate

generate_ai_manifests

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 <head> 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.

truncation

query_truncation_benchmark

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.

Endpoints

URL	Transport	State	Latency	Checked
https://answerrail.com/mcp	streamable-http	answering	236 ms	13 min ago

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

Answers built from our own checks of this server.

What can AnswerRail AEO, Schema.org & /llms.txt Audit MCP do?

It exposes 4 tools, read directly from the server on our last check. Among them: audit_ai_readiness, extract_byte0_markdown, generate_ai_manifests, query_truncation_benchmark. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is AnswerRail AEO, Schema.org & /llms.txt Audit MCP working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 376 ms. The bar chart above shows every period we have measured.

How do I connect AnswerRail AEO, Schema.org & /llms.txt Audit MCP?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does AnswerRail AEO, Schema.org & /llms.txt Audit MCP need an API key?

No. AnswerRail AEO, Schema.org & /llms.txt Audit MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is AnswerRail AEO, Schema.org & /llms.txt Audit MCP?

It answers our handshake in 376 ms on average, which is faster than 35% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

How many people use AnswerRail AEO, Schema.org & /llms.txt Audit MCP?

The npm package answerrail-mcp was installed 553 times in the last week. Week over week that is -69%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is AnswerRail AEO, Schema.org & /llms.txt Audit MCP open source?

The code is open source: it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at answerrail.com, which runs on its operator's own terms.