How do I connect an AI agent to Director's Lookbook?

Use the MCP streamable HTTP endpoint https://lookbook-mcp.riverroadlabs.workers.dev/mcp.

Catalog › io.github.qxxx5vyd77-byte/directors-lookbook

Is Director's Lookbook reliable?

Reliable (measured) Yes. Faceabot measured Director's Lookbook 27 times: 100% of checks succeeded, including the last 27 in a row (last check 2026-10-19 11:05 UTC). It also does the job: its real read-only task worked 27 of 27 times.

Last check: 2026-10-19 11:05 UTC · answered in 5693 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

670+ named visual and music styles: deal a look for a feeling, get paste-ready AI prompts.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.3.1 · publisher website

Connect your agent

{
  "mcpServers": {
    "directors-lookbook": {
      "url": "https://lookbook-mcp.riverroadlabs.workers.dev/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.qxxx5vyd77-byte/directors-lookbook"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked list_suits to do a small read-only task 27 time(s): 27 returned a real result, the last 27 in a row. Last result: ok in 2546 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 11:05 UTC	✅ ok	✅ done	5693 ms
2026-10-18 18:30 UTC	✅ ok	✅ done	4287 ms
2026-10-18 06:15 UTC	✅ ok	✅ done	8659 ms
2026-10-17 22:25 UTC	✅ ok	✅ done	4024 ms
2026-10-17 14:05 UTC	✅ ok	✅ done	7725 ms
2026-10-17 06:10 UTC	✅ ok	✅ done	6053 ms
2026-10-16 22:25 UTC	✅ ok	✅ done	4393 ms
2026-10-16 15:15 UTC	✅ ok	✅ done	5677 ms
2026-10-16 08:15 UTC	✅ ok	✅ done	6778 ms
2026-10-16 01:25 UTC	✅ ok	✅ done	6165 ms
2026-10-15 18:31 UTC	✅ ok	✅ done	6597 ms
2026-10-15 11:46 UTC	✅ ok	✅ done	3585 ms
2026-10-15 05:10 UTC	✅ ok	✅ done	2850 ms
2026-10-14 22:40 UTC	✅ ok	✅ done	6694 ms
2026-10-14 16:10 UTC	✅ ok	✅ done	7232 ms
2026-10-14 09:45 UTC	✅ ok	✅ done	3259 ms
2026-10-14 03:06 UTC	✅ ok	✅ done	6430 ms
2026-10-13 20:45 UTC	✅ ok	✅ done	7556 ms
2026-10-13 14:40 UTC	✅ ok	✅ done	8057 ms
2026-10-13 08:35 UTC	✅ ok	✅ done	7326 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 Director's Lookbook?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.qxxx5vyd77-byte/directors-lookbook.svg)](https://faceabot.com/tools/io.github.qxxx5vyd77-byte/directors-lookbook)

Data in JSON: /api/catalog?id=io.github.qxxx5vyd77-byte/directors-lookbook · 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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