MCP Observatory
2m ago Tracked 59,465 Last 2m ago 24h 2,459
github Python analyzed ca099a6

AceDataCloud/SoraMCP

v2026.8.28.0
github

MCP server for OpenAI Sora video generation via Ace Data Cloud.

maintainer
AceDataCloud
licence
MIT
first seen
2026-06-09
last seen
2026-08-28
releases · 30d
4
short id
risk 12/100 · heuristic grade
A minimal inferred analyzer v33 (current)
  • capability exposure inferred + 28
  • trust mitigators mixed − 16

inferred mixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

grade last moved 1w ago · see ecosystem CVEs →

risk trajectory 2 movements
  • B · 17 → A · 12
  • A · 0 → B · 17
capability exposure grade factor +28
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit ca099a6 · analyzer v33 · 1w ago

skills & prompt files 2

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:AceDataCloud/SoraMCP/badge.svg)](https://mcpobservatory.com/servers/github:AceDataCloud/SoraMCP/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of AceDataCloud.