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Domain-specific LLM fine-tuning — sovereign models trained on your data, zero infrastructure.
About
Domain-specific LLM fine-tuning — sovereign models trained on your data, zero infrastructure.
What You'll Need
Set these up before or after installing:
Tuning Engines API key. Get one at https://tuningengines.com or by running 'te auth login'.Required
Environment variable: TE_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-cerebrixos-tuning-engines": {
"env": {
"TE_API_KEY": "your-te-api-key-here"
},
"args": [
"-y",
"tuningengines-cli"
],
"command": "npx"
}
}
}Security Report
6.5
Moderate6.5Moderate RiskWell-architected MCP server with proper authentication requirements, secure token handling via environment variables, and permissions appropriately scoped for a developer tools service that manages LLM fine-tuning jobs. Only minor code quality findings related to error handling and the truncated source file. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
Scanned 4 files · 5 findings
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
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