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mcp/harbor
Gemini CLI

Model Manager for Gemini CLI

io.github.setheerwagen/mcp-modelmanager

Manage your local model machine over MCP: state, model pull/remove, service switch, LoRA training

client:Gemini CLI transport:stdio runtime:pypi

Install Model Manager 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": {
    "mcp-modelmanager": {
      "command": "uvx",
      "args": [
        "mcp-modelmanager"
      ],
      "env": {
        "MM_VM_HOST": "<MM_VM_HOST>",
        "MM_VM_USER": "<MM_VM_USER>",
        "MM_CONTAINER_ROOT": "<MM_CONTAINER_ROOT>",
        "MM_MAX_TIER": "<MM_MAX_TIER>",
        "MM_ENABLED_OPERATIONS": "<MM_ENABLED_OPERATIONS>",
        "MM_VM2_HOST": "<MM_VM2_HOST>"
      }
    }
  }
}

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

Model Manager in other clients

Model Manager MCP server