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
{
"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