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Is SCRIPTMASTERLABS — Cascade Graph reliable?

Reliable (measured) Yes. Faceabot measured SCRIPTMASTERLABS — Cascade Graph 4 times: 100% of checks succeeded, including the last 4 in a row (last check 2026-10-25 19:50 UTC). It also does the job: its real read-only task worked 4 of 4 times.

Last check: 2026-10-25 19:50 UTC · answered in 8286 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

Cascade Graph MCP: macro decision capsules + Jev jury review over a hash-chained calibration log.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.1 · publisher website
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{
  "mcpServers": {
    "cascade-graph": {
      "url": "https://sml-portfolio.onrender.com/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"com.scriptmasterlabs/cascade-graph"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Does the job (tested) — Faceabot asked cascade_status to do a small read-only task 4 time(s): 4 returned a real result, the last 4 in a row. Last result: ok in 2892 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
WhenAnswersReal taskLatency
2026-10-25 19:50 UTC✅ ok✅ done8286 ms
2026-10-25 06:11 UTC✅ ok✅ done5393 ms
2026-10-24 20:05 UTC✅ ok✅ done5388 ms
2026-10-24 10:01 UTC✅ ok✅ done7844 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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