fine-tuning-os

Item: fine-tuning-os
Rating: 69
Author: M8ven

A zero-data MCP server for LLM fine-tuning, providing 64 tools across 10 dimensions to prepare, build, train, evaluate, secure, package, and deliver fine-tuned models without ever accessing client data.

→ Casius999/fine-tuning-os · listed on glama

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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.

configFTOS_SMTP_PORT

configFTOS_SMTP_STARTTLS

configFTOS_WORKSPACE— 4. No file written outside the configured workspace root ().

// 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/casius999-fine-tuning-os-1mrfbj)](https://m8ven.ai/mcp/casius999-fine-tuning-os-1mrfbj)

commit: d03255249727edf2c617384141d8daa68c688d57

code hash: 37cd94073786f86936ab8a205c7483d8ac75609a52d4f84f42d39121e542be0f

verified: 7/31/2026, 9:26:25 AM

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