How do I connect an AI agent to llms-generator-mcp?

Use the MCP streamable HTTP endpoint https://llms-generator-72343955726.us-central1.run.app/mcp/llms-generator.

Catalog › io.github.robertoyanguas-ops/llms-generator-mcp

Is llms-generator-mcp reliable?

Reliable (measured) Yes. Faceabot measured llms-generator-mcp 20 times: 100% of checks succeeded, including the last 20 in a row (last check 2026-10-19 12:20 UTC). It also does the job: its real read-only task worked 11 of 11 times.

Last check: 2026-10-19 12:20 UTC · answered in 8517 ms · remote (no install)

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

What it does

Crawls any website and generates a standards-compliant /llms.txt file and JSON-LD schema bundle.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.0

Connect your agent

{
  "mcpServers": {
    "llms-generator-mcp": {
      "url": "https://llms-generator-72343955726.us-central1.run.app/mcp/llms-generator"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.robertoyanguas-ops/llms-generator-mcp"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked get_agent_wallet_status to do a small read-only task 11 time(s): 11 returned a real result, the last 11 in a row. Last result: ok in 3166 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 12:20 UTC	✅ ok	✅ done	8517 ms
2026-10-18 20:10 UTC	✅ ok	✅ done	6880 ms
2026-10-18 07:05 UTC	✅ ok	✅ done	6583 ms
2026-10-17 23:15 UTC	✅ ok	✅ done	5809 ms
2026-10-17 15:05 UTC	✅ ok	✅ done	6613 ms
2026-10-17 07:00 UTC	✅ ok	✅ done	6231 ms
2026-10-16 23:10 UTC	✅ ok	✅ done	5426 ms
2026-10-16 16:01 UTC	✅ ok	✅ done	7954 ms
2026-10-16 09:01 UTC	✅ ok	✅ done	6748 ms
2026-10-16 02:05 UTC	✅ ok	✅ done	7381 ms
2026-10-15 19:10 UTC	✅ ok	✅ done	5809 ms
2026-10-15 12:26 UTC	✅ ok	—	4754 ms
2026-10-15 05:50 UTC	✅ ok	—	3969 ms
2026-10-14 23:20 UTC	✅ ok	—	3709 ms
2026-10-14 17:00 UTC	✅ ok	—	6673 ms
2026-10-14 10:30 UTC	✅ ok	—	4204 ms
2026-10-14 04:01 UTC	✅ ok	—	7367 ms
2026-10-13 21:25 UTC	✅ ok	—	6494 ms
2026-10-13 15:20 UTC	✅ ok	—	8677 ms
2026-10-13 09:16 UTC	✅ ok	—	6784 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.

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Publisher of llms-generator-mcp?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.robertoyanguas-ops/llms-generator-mcp.svg)](https://faceabot.com/tools/io.github.robertoyanguas-ops/llms-generator-mcp)

Data in JSON: /api/catalog?id=io.github.robertoyanguas-ops/llms-generator-mcp · 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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