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Is Luw.ai reliable?

Private (key required) Luw.ai answers but requires credentials, so Faceabot cannot test it anonymously. It is not counted as failing.

Last check: 2026-10-08 23:41 UTC · answered in 4522 ms · remote (no install)

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

What it does

AI interior, exterior and landscape design, photoreal rendering, image editing, video and 3D.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.3.3 · publisher website
Connect your agent
{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.luw.ai/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"ai.luw/mcp"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Fails real tasks — Faceabot asked luw_get_result to do a small read-only task 3 time(s): 0 returned a real result. Last result: tool_error (the tool answered with an error for the neutral sample input) in 3360 ms.

Sample input: {"processing_url":"https://example.com"}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-08 23:41 UTC❌ auth_required4522 ms
2026-10-08 14:40 UTC✅ ok❌ tool_error10063 ms
2026-10-08 05:20 UTC✅ ok❌ tool_error8614 ms
2026-10-07 19:30 UTC✅ ok❌ tool_error9296 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 Luw.ai?

Show your measured reliability on your README or website:

Faceabot reliability badge for Luw.ai

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Data in JSON: /api/catalog?id=ai.luw/mcp · Stop probes: POST /api/reliability/opt-out

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