gflow-cli
local MCP servergflow-cli is a local MCP server: Drive Google Flow from an agent: Veo video and Imagen image generation. Install it from pypi as gflow-cli.
Installation
Terminal
claude mcp add gflow-cli -e GFLOW_CLI_HOME=... -- uvx gflow-cli
Run in your project folder. Add --scope user to use it everywhere.
Claude Desktop, Cursor & other clients
Add to claude_desktop_config.json or .cursor/mcp.json.
{
"mcpServers": {
"gflow-cli": {
"command": "uvx",
"args": [
"gflow-cli"
],
"env": {
"GFLOW_CLI_HOME": "..."
}
}
}
}Fill in the environment variables with your own credentials.
What you need
- Runtime: Python with uv (runs with uvx).
- MCP client: Claude Code, Codex, Antigravity, Claude Desktop, Cursor or any other client that speaks MCP over stdio.
- Environment variables:
GFLOW_CLI_HOME
Summary
Drive Google Flow from an agent: Veo video and Imagen image generation
gflow-cli vs similar servers
| Server | Stars | Type | API key | Runtime |
|---|---|---|---|---|
| gflow-cli | 234 | Local | Yes | pypi |
| Glif | 211 | Hosted | No | None |
| NotebookLM MCP | 184 | Local | No | npm |
| Agent-Native Calendar | 6,874 | Hosted | No | None |
| Agent-Native Design | 6,874 | Hosted | No | None |
Questions
It reads one environment variable: GFLOW_CLI_HOME. Set them in your MCP config before starting the server.
Python with uv (runs with uvx), plus an MCP client such as Claude Code, Codex, Claude Desktop or Cursor.
gflow-cli is a local MCP server distributed as the pypi package gflow-cli.
Run: claude mcp add gflow-cli -e GFLOW_CLI_HOME=... -- uvx gflow-cli
Run: codex mcp add gflow-cli --env GFLOW_CLI_HOME=... -- uvx gflow-cli
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