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ffroliva/gflow-cli

by Various

Drive Google Flow from the command line: Veo video and Imagen images, scripted, batched and pipeline-ready. Ships an MCP server so coding agents can drive it too, giving you and yo

MCP

ffroliva/gflow-cli

Added 16 Sept 2026

#agentic #ai-agents #claude-code #cli #generative-ai #google-flow #image-to-video #imagen

Overview

Drive Google Flow from the command line to generate Veo videos and Imagen images. Supports scripted, batched, and pipeline-ready workflows. Ships an MCP server so coding agents can control generation programmatically. Unofficial, alpha, not affiliated with Google.

Best for

Best for
Developers who want to automate Google Flow generation from scripts or coding agents.

Use cases

  • Scripting Veo video generation in automated workflows
  • Batch image creation with Imagen from the terminal
  • Integrating generation into CI/CD pipelines via MCP

How to use

Tested with

Claude Code, Cursor, Windsurf, ChatGPT

Notes

Drive Google Flow from the command line to generate Veo videos and Imagen images. Supports scripted, batched, and pipeline-ready workflows. Ships an MCP server so coding agents can control generation programmatically. Unofficial, alpha, not affiliated with Google.

202 stars on GitHub. Last updated 2026-09-16. Licensed MIT.

Use cases

  • Scripting Veo video generation in automated workflows
  • Batch image creation with Imagen from the terminal
  • Integrating generation into CI/CD pipelines via MCP

Pros

  • Full programmatic control through CLI and MCP server
  • Supports both Veo and Imagen in one tool
  • Designed for automation and pipeline integration

Cons

  • Alpha status, likely unstable or subject to breaking changes
  • Unofficial, no support from Google
  • Small user base (202 stars) limits community resources

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Full programmatic control through CLI and MCP server
  • Supports both Veo and Imagen in one tool
  • Designed for automation and pipeline integration

Cons

  • Alpha status, likely unstable or subject to breaking changes
  • Unofficial, no support from Google
  • Small user base (202 stars) limits community resources

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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