Kubeflow MCP Server

AI-powered interface for Kubeflow Training via MCP, enabling AI assistants to manage distributed training jobs, fine-tune LLMs, and monitor workloads on Kubernetes through natural language.

→ abhijeet-dhumal/mcp-server · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 1 credential: HF_TOKEN

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configLOG_LEVEL

configLOG_FORMAT

🔐 secretHF_TOKEN

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/abhijeet-dhumal-mcp-server-qn969l)](https://m8ven.ai/mcp/abhijeet-dhumal-mcp-server-qn969l)

commit: bb0127b0b38dc99f208a0f440044711c303f3b4a

code hash: 4493870bed08623160d12bbfd82554df2bfb6d79dda04345cc7853a5314c268f

verified: 6/22/2026, 1:27:31 PM

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