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Kubeflow MCP Server

Enables AI agents to plan, submit, monitor, and manage Kubeflow training jobs through natural language, without needing to learn Kubernetes or the Kubeflow SDK.

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50poor

▣ Score BreakdownMCPScore = Σ(raw × weight)

DimensionRawWeighted

Security

35%

100

35.0

Freshness

25%

7.5

Adoption

20%

0.0

Quality

10%

2.0

Trust

10%

5.0

Total

49.5

⚿ Capabilities & Risk Explainer

fs readfs writenetworkexecsecrets

◆ Risk level: high

fs read + fs write + network + exec + secrets active — can execute code, access credentials, and make external network calls.

⚙ Install config

Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/kubeflow/mcp-server

📈 Score historylast 11 snapshots

5/31/20266/11/2026 · 11 snapshots

⚙ Maintenance health

maintenance data not yet available — check back later.

⛁ Raw data

weekly downloads0

github stars0

forks0

open issues0

license✗ missing

readme length0 chars

last updated12d ago

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