Vibops MCP Server

vibops-mcp PyPI v0.1.0

Published by vibops — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.

Trust grade
A
96/100
Last scanned get badge →
Trust
A · 96/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 96/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — client exposure if the model is manipulated
−1 publisher verification (public source) — no provenance, but the source is public and inspectable

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 0

✓ No findings. The scan raised nothing on this surface — see Coverage for how deep it could look.

Tools 26

Each tool and what it can reach — statically extracted from the published source.

  • list_secretsreads sensitive data
  • create_secretno sensitive capability
  • delete_gatewayno sensitive capability
  • deploy_modelno sensitive capability
  • get_cluster_deploymentsno sensitive capability
  • get_cluster_rateno sensitive capability
  • get_cost_estimateno sensitive capability
  • get_gpu_metricsno sensitive capability
  • get_jobno sensitive capability
  • get_mttrno sensitive capability
Show 16 more tools ↓
  • get_workload_breakdownno sensitive capability
  • git_cloneno sensitive capability
  • helm_uninstallno sensitive capability
  • helm_upgradeno sensitive capability
  • list_alertsno sensitive capability
  • list_clustersno sensitive capability
  • list_gatewaysno sensitive capability
  • list_jobsno sensitive capability
  • list_kubectl_contextsno sensitive capability
  • list_pipelinesno sensitive capability
  • list_providersno sensitive capability
  • register_gatewayno sensitive capability
  • run_kubectlno sensitive capability
  • scale_clusterno sensitive capability
  • set_cluster_rateno sensitive capability
  • trigger_pipelineno sensitive capability

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v0.1.0 latest A 96/100 0 1.9.0 2026-07-23

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 96/100
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan vibops-mcp --online --registry pypi

Use the free API → How scoring works

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