MCP Observatory
1m ago Tracked 60,020 Last 1m ago 24h 2,463
pypi Python analyzed 0.7.3

zeus-dev-helper-mcp

v0.7.3
pypi

Developer Helper MCP — first Zeus-powered app onboarding coach (ZDH)

maintainer
Koten AI
licence
Proprietary
first seen
2026-09-08
last seen
2026-09-18
releases · 30d
6
short id
risk 23/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • tool safety inferred + 5
  • trust mitigators mixed − 17

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 1d ago · see ecosystem CVEs →

risk trajectory 3 movements
  • B · 16 → B · 23
  • B · 18 → B · 16
  • B · 26 → B · 18
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +5
  1. medium dangerous code

    dynamic exec: __import__()

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

analyzed v0.7.3 · analyzer v33 · 1d ago

skills & prompt files 1

  • agent-rules zeus_dev_helper_mcp-0.7.3/AGENTS.md

danger signals1

  • dynamic code execution __import__() zeus_dev_helper_mcp-0.7.3/src/zeus_dev_helper_mcp/mcp_compat.py :17 module = __import__(path, fromlist=[name])
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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 Koten AI.