A
licenseA
qualityB
maintenanceEnables image generation and editing through the Gemini web app using your own browser session cookies, avoiding API keys and per-image billing.
2
3
1
MIT
nano-banana-gemini
by vavavoom9
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- 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.119 npm2MIT
- 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
- FlicenseNot gradedqualityDmaintenanceEnables image generation using Google Gemini models (flash/pro) with support for multiple sizes, reference images, and access control via Google OAuth and email allow-lists.1-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to generate images through Gemini running inside the user's own browser, returning results as image files (optionally inlined for display). It also manages the local bridge lifecycle with status, start, and stop tools, plus reference-image prompting and aspect-ratio control.MIT
TDQS
A3.8/5.0
Scored across 7 tools
Disambiguation4/5
Most tools target clearly distinct actions: status check, single-image generation, download, upscale, library listing, batch, and video. The only mild overlap is between generate_image (which can already produce 'one or more images') and generate_batch (several different prompts), so an agent could occasionally hesitate over which to pick.
Naming Consistency4/5
Six of seven names follow a clean verb_noun snake_case pattern (generate_image, download_image, upscale_image, list_library, generate_batch, generate_video). The outlier is flow_status, a noun phrase rather than an action, but it remains readable and unambiguous.
Tool Count5/5
Seven tools is well-scoped for a browser-automation image/video generation server, with each tool covering a distinct step in the workflow (diagnose, list, generate, batch, upscale, download, video). Nothing feels padded or missing at the count level.
Completeness4/5
The lifecycle is largely covered: connection diagnostics, library inspection, generation (single, batch, video), upscaling, and retrieval by media id. The notable gap is there is no tool to upload a new reference image into the Flow library, even though reference images are a first-class concept, forcing the agent back to the UI.
Maintenance
ActivityMaintained
ResponsivenessSyncing