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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.

29 starsupdated 1d agogithub ↗
77fair
▣ Overview
LicensePythonJoin Slack
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
13
2.6
Quality
10%
90
9.0
Trust
10%
50
5.0
Total
76.6
⚿ 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 27 snapshots
5/31/20267/21/2026 · 27 snapshots
⚙ Maintenance health
37/ 100 · is this project alive?
contributors (1y)2
top contributor share67%
releases (1y)0
ci✓ passing
⛁ Raw data
weekly downloads0
github stars29
forks36
open issues42
license✓ present
readme length8788 chars
last publish5d ago
last commit1d ago
last updated7d ago
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