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mcp/harbor
Gemini CLI

tuning engines for Gemini CLI

io.github.cerebrixos/tuning-engines

Domain-specific LLM fine-tuning — sovereign models trained on your data, zero infrastructure.

client:Gemini CLI transport:stdio runtime:npm

Install tuning engines in Gemini CLI

~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json

Held in this page only — never stored, logged, or sent anywhere but back to your screen. 

{
  "mcpServers": {
    "tuning-engines": {
      "command": "npx",
      "args": [
        "-y",
        "tuningengines-cli"
      ],
      "env": {
        "TE_API_KEY": "<TE_API_KEY>"
      }
    }
  }
}

Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs

tuning engines in other clients

tuning engines MCP server