io.github.quitegoodproject/answerrail-mcp · v1.2.7 · docs-and-knowledge
AnswerRail AEO, Schema.org & /llms.txt Audit MCP is healthy: it completed an MCP handshake in 1002 ms and exposes 4 tools.
6-category AI readiness, Schema.org, robots.txt, /llms.txt & 25k-token audit + auto-fix MCP server
Endpoint: https://answerrail.com/mcp (streamable-http)
Repository · Website · JSON · Add to my inventory
| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 1002 ms |
| Last checked (UTC) | 2026-10-29T19:05:22.781Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-29T19:05:22.781Z | Healthy | 1002 |
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 diag |
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 aud |
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 withou |
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 s |