Kling for Gemini CLI
io.github.mindstone/mcp-server-kling
Kling AI video generation MCP server for Model Context Protocol hosts
client:Gemini CLI
transport:stdio
runtime:npm
Install Kling in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"mcp-server-kling": {
"command": "npx",
"args": [
"-y",
"@mindstone/mcp-server-kling"
],
"env": {
"KLING_ACCESS_KEY": "<KLING_ACCESS_KEY>",
"KLING_SECRET_KEY": "<KLING_SECRET_KEY>",
"KLING_REQUEST_TIMEOUT_MS": "<KLING_REQUEST_TIMEOUT_MS>",
"MCP_WORKSPACE_PATH": "<MCP_WORKSPACE_PATH>",
"KLING_DOWNLOAD_ROOT": "<KLING_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