Manage AWS, Hetzner, OVH, and custom servers from one TUI — with a built-in AI assistant and MCP server
- capability exposure inferred + 35
- tool safety inferred + 12
- trust mitigators mixed − 8
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 →
- C · 44 → C · 39
- C · 36 → C · 44
- C · 56 → C · 36
- C · 49 → C · 56
- C · 41 → C · 49
- A · 0 → C · 41
No known CVEs for this server.
- high dangerous code
committed secret: OpenAI key, Stripe live key · dynamic exec: __import__()
analyzed commit 9aae544 · analyzer v33 · 3d ago
danger signals4
- dynamic code execution __import__() zb-ss-servonaut-9aae544/src/servonaut/screens/settings/registry.py :43
__import__( - suspicious endpoint 169.254.169.254 (cloud metadata) zb-ss-servonaut-9aae544/tests/test_object_storage_service.py :124
endpoint_url="https://169.254.169.254", - committed secret OpenAI key zb-ss-servonaut-9aae544/docs/configuration.md :339
sk-Lwh…(25 chars, redacted) - committed secret Stripe live key zb-ss-servonaut-9aae544/tests/test_redaction_known_secrets.py :97
sk_liv…(34 chars, redacted)
[](https://mcpobservatory.com/servers/github:zb-ss/servonaut/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 zb-ss.