MCP TensorBoard

Item: MCP TensorBoard
Rating: 69
Author: M8ven

Exposes TensorBoard experiment data through a standardized MCP API, enabling AI coding agents to query and analyze scalars, tensors, histograms, distributions, and images from ML experiment logs.

→ 1Kraks/mcp-tensorboard · 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.

// required environment variables

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

configTENSORBOARD_LOGDIR— Default log directory (alternative to --logdir)

configTENSORBOARD_LOGS— Alternative log directory variable

// 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 5 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/1kraks-mcp-tensorboard-1cqml4)](https://m8ven.ai/mcp/1kraks-mcp-tensorboard-1cqml4)

commit: e8e27230a75b809de6a53ecfb40211a87cf71be5

code hash: 0f1e86daa5b4c659bd2fd144bec9b26a747c339c8170434920f068a236d54143

verified: 6/22/2026, 1:24:28 PM

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