Google Flow MCP
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- AlicenseNot gradedqualityCmaintenanceEnables generating images and videos on Google Flow through browser automation using your Google AI Pro subscription, with image generation free and video consuming Flow credits.116 npm1MIT
- AlicenseNot gradedqualityCmaintenanceEnables generating images and videos in Google Flow through an automated browser session using your Google AI Pro subscription, without API keys or third-party credit fees.116 npm2MIT
- AlicenseAqualityAmaintenanceEnables AI agents to programmatically generate images and videos through the authenticated Google Flow web interface via a direct Chrome DevTools Protocol connection, exposing tools for media generation, project management, status checks, and asset downloads without requiring official API keys.71MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants such as Claude Code, Codex, and Cursor to generate images and videos through Google Flow using a local, already signed-in Chrome session. It runs as a local MCP endpoint so assistants can submit generation jobs, manage them, and receive results using your own Flow subscription credits.1MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to drive a Google Flow web workspace through local login-session reuse: inspecting the account's actual models and parameters, submitting image and video generation jobs, tracking each job by persistent ID, and downloading the matching media to a specified local path with file and parameter records. Supports repeatable, multi-shot video production workflows where tracked assets are handed off to editing tools like FFmpeg.11MIT
- AlicenseAqualityAmaintenanceDrives Google Flow from an agent or the terminal: Veo text-to-video, image-to-video and clip extension, plus Imagen image generation. Runs locally against your own Google account with Flow access; video generation bills that account's credits.161,013 PyPI251MIT
TDQS
Scored across 17 tools
Most tools target distinct operations, but there is some overlap between flow_status and flow_queue_status, and flow_use_tool potentially overlaps with specific tools like flow_use_grid_architect or flow_open_tools_gallery. However, the descriptions generally clarify the intended boundaries.
All tool names follow a consistent flow_ prefix with snake_case verb/noun structure (e.g., flow_connect, flow_generate_image, flow_create_character). There are no mixed conventions or confusing naming patterns.
At 17 tools, the set is slightly heavy but still reasonable for a browser automation server covering connection, UI discovery, generation, characters, scenes, and queue monitoring. Most tools appear to earn their place, though a few could potentially be consolidated.
Core workflows like connection, generation, and character/scene creation are covered, but there are notable gaps such as no update/delete operations for characters or scenes, no explicit scene listing, and no job cancellation or cleanup tool beyond disconnection. These omissions could limit full lifecycle management.