How do I connect an AI agent to llms-txt-validator?

Use the MCP streamable HTTP endpoint https://llms-txt-validator.dev/mcp.

Catalog › dev.llms-txt-validator/llms-txt-validator

Is llms-txt-validator reliable?

Q: What are reliable alternatives to llms-txt-validator?

Measured by Faceabot as working: Upshift, AI Visibility Audit — Can AI crawlers read and cite your site?, RankRoot: AI visibility audit.

Flaky Partly. Faceabot measured llms-txt-validator 8 times and only 88% of checks succeeded. Plan a fallback.

Last check: 2026-10-10 12:01 UTC · answered in 8000 ms · remote (no install)

Proven alternatives that work right now

Upshift Reliable (measured) · 100%
Audit a site's structured data and llms.txt, match a trade to a template, and quote real prices. · https://mcp.upshiftsites.com/mcp

AI Visibility Audit — Can AI crawlers read and cite your site? Reliable (measured) · 100%
One-call audit: robots.txt AI-bot rules, llms.txt, JSON-LD, meta tags, sitemap. Score plus fixes. · https://ai-visibility.rowb.app/mcp

RankRoot: AI visibility audit Flaky · 88%
Audit a site's visibility to ChatGPT, Perplexity, Claude and AI agents. Generates llms.txt. · https://getrankroot.com/api/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Instable. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Validate a site's llms.txt against the spec: fetches every linked URL, scores it 0-100.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "llms-txt-validator": {
      "url": "https://llms-txt-validator.dev/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"dev.llms-txt-validator/llms-txt-validator"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-10 12:01 UTC	❌ timeout		8000 ms
2026-10-10 05:55 UTC	✅ ok	—	8858 ms
2026-10-09 23:40 UTC	✅ ok	—	8776 ms
2026-10-09 17:01 UTC	✅ ok	—	10401 ms
2026-10-09 09:55 UTC	✅ ok	—	9198 ms
2026-10-09 02:05 UTC	✅ ok	—	10193 ms
2026-10-08 17:15 UTC	✅ ok	—	8934 ms
2026-10-08 08:02 UTC	✅ ok	—	7836 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of llms-txt-validator?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/dev.llms-txt-validator/llms-txt-validator.svg)](https://faceabot.com/tools/dev.llms-txt-validator/llms-txt-validator)

Data in JSON: /api/catalog?id=dev.llms-txt-validator/llms-txt-validator · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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