nano-banana-mcp
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Alternatives to nano-banana-mcp
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- AlicenseAqualityCmaintenanceLets 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.4MIT
- 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
- AlicenseAqualityCmaintenanceEnables generating images through Google's Gemini Nano Banana image models using a free Google AI Studio API key, with configurable prompts, models, aspect ratios, and output locations.1MIT
- 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.417119 npm123MIT
- AlicenseAqualityBmaintenanceLets an AI agent drive Google Flow (flow.google.com) through a locally logged-in Chrome profile to generate images, videos, characters, and scenes. Uses browser automation via the Chrome DevTools Protocol, so Google credentials are never shared with the agent.2112 npmMIT
- AlicenseAqualityBmaintenanceEnables AI assistants to generate and edit images, create Veo and Omni videos, upscale media, and interact with Google Flow's creative agent by driving a Chrome window signed in to the user's own Google account, using their existing plan and credits with no API key and with credit-spend safeguards.18471 npmMIT
TDQS
Scored across 5 tools
Each tool maps to a distinct stage of the workflow: status, single generation, batch generation, listing, and downloading. generate_image and generate_batch overlap somewhat, but their descriptions clearly separate single/reference-image generation from parallel multi-prompt jobs.
Most tools follow a clear verb_noun pattern: generate_image, list_library, download_image, generate_batch. flow_status is a minor deviation since it is noun-like rather than an explicit action verb like check_flow_status or get_flow_status.
Five tools is well-scoped for a focused image-generation server. Each tool serves a necessary purpose without redundancy, and the count is within the ideal range.
The core workflow is covered: check status, generate images, generate batches, list library contents, and download images. Minor gaps exist such as no explicit upload, delete, or job-status tools, but those may be outside the server's intended scope.