Google Flow Browser MCP
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- AlicenseAqualityDmaintenanceEnables AI agents to drive Google Flow through a real Chrome profile to generate images, videos, characters, and scenes without sharing credentials.4194 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.275MIT
- AlicenseBqualityBmaintenanceEnables users to generate images and videos on Google Flow through browser automation of an already signed-in Chrome session, downloading the finished media to disk without any API keys. It drives Flow's agent with a range of image and video models, plus reference images, first/last frames, and ingredient-based video jobs, while reusing the user's own Google AI Pro credits.17MIT
- AlicenseAqualityFmaintenanceControls Google Flow for image and video generation from an AI agent. Enables generating images with models like Imagen 4, creating videos, managing characters and scenes via browser automation.181783 npm115MIT
- AlicenseNot gradedqualityCmaintenanceLets AI agents generate images in Google Flow by driving the real web app in a Chrome window you sign into once, selecting the model, aspect ratio, and image count from a prompt. Results can be downloaded at 1K, 2K, or 4K, all without an API key.MIT
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TDQS
Scored across 21 tools
Most tools have a clearly distinct resource or action (status, connect, generate_image, create_character, etc.), so an agent can usually tell them apart. However, flow_use_tool overlaps with specific wrappers like flow_use_grid_architect, and flow_status partially duplicates flow_queue_status and flow_account_check.
All tool names use a consistent flow_ prefix plus snake_case verb/noun structure. The convention is predictable throughout the set.
21 tools is heavy for a single browser-automation server and lands in the borderline range per the rubric. While many operations are justified, some could be consolidated or deferred, especially generic flow_use_tool versus specific tool wrappers.
Core lifecycle operations are present: connect/disconnect, navigate, discover UI, generate image, create characters/scenes, and queue status/reset. But there are notable gaps: flow_generate_video is prepare-only with no execute path, and there are no update/delete operations for characters/scenes or listing generated assets beyond the latest download.