MCP server intelligence profile

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

Local OnlyOfficial distributionkubeflow

1Distribution channel

PendingTool inventory

0Linked remote endpoints

AvailableVersion intelligence

Install and connect

Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.

Install kubeflow-mcp from PyPI

Version 0.1.1 declares 1 executable entrypoint.

python -m pip install 'kubeflow-mcp==0.1.1'

uvx --from 'kubeflow-mcp==0.1.1' kubeflow-mcp

MCP client configuration example

{
  "mcpServers": {
    "kubeflow-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "kubeflow-mcp==0.1.1",
        "kubeflow-mcp"
      ]
    }
  }
}

Identity

Canonical slug	`kubeflow-mcp-server-f71be6e0`	Deployment	Local Only
Canonical package	pypi:kubeflow-mcp	Repository	kubeflow/mcp-server
First published	Aug 11, 2026	Latest release	Aug 11, 2026
Last security verification	—	Classification confidence	90%
Publication	Published	Official distribution	Yes

Distributions

Channel	Identifier	Current version	Versions	Source
pypi	kubeflow-mcp	`0.1.1`	1	Repository

Current release

Package	Version	Published / observed	Inventory	Security scan
pypikubeflow-mcp	`0.1.1`Current	Aug 11, 2026	—	Not scanned

Enterprise protection

Continuously monitor this MCP for security risk

Independently scan the exact version your agents use, receive alerts when its risk changes, and investigate every finding with retained version evidence.

Independent exact-version security scans
Continuous release and vulnerability monitoring
Risk-change alerts with capability context
Historical evidence and API exports

Custom pricingContact salesTailored to your organization, integrations, data needs, and support requirements.

Current version evidence

Provenance	artifact_hash_verified	Signature	—
MCP SDK	python_mcp_source_evidence	Artifact SHA-256	`5d36875ea970ae7ba336c60b8815bfccb03618d4285a0f2dd169a3e7c8f48483`
Scanner	—	Scan completed	—
Security rating	45 / 100	Methodology	version-rating-1.0

Executable entrypoints

[
  "kubeflow-mcp"
]

Best available protocol inventory

Tool inventory is pending. This does not mean the MCP exposes zero tools. Tools, resources, templates, and prompts appear here after the current version completes independent protocol inventory.

Remote endpoints

Endpoint	Transport	Authentication	Health	Observed
No verified remote endpoint is linked.

Kubeflow MCP Server questions

How do I install Kubeflow MCP Server?

Install the selected package version with: python -m pip install 'kubeflow-mcp==0.1.1'

What tools does Kubeflow MCP Server provide?

A current independently observed tool inventory is not available yet. This does not mean Kubeflow MCP Server exposes zero tools.

Is Kubeflow MCP Server secure?

The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.

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