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Gemini CLI

Runway ML for Gemini CLI

io.github.mindstone/mcp-server-runway

Runway ML MCP server: AI video, image, audio, voice generation, and task management

client:Gemini CLI transport:stdio runtime:npm

Install Runway ML in Gemini CLI

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

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{
  "mcpServers": {
    "mcp-server-runway": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-runway"
      ],
      "env": {
        "RUNWAYML_API_SECRET": "<RUNWAYML_API_SECRET>",
        "RUNWAY_REQUEST_TIMEOUT_MS": "<RUNWAY_REQUEST_TIMEOUT_MS>",
        "RUNWAY_UPLOAD_TIMEOUT_MS": "<RUNWAY_UPLOAD_TIMEOUT_MS>",
        "RUNWAY_ALLOWED_ROOT": "<RUNWAY_ALLOWED_ROOT>",
        "RUNWAY_DOWNLOAD_ROOT": "<RUNWAY_DOWNLOAD_ROOT>"
      }
    }
  }
}

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

Runway ML in other clients