awei84

awei84 / antibanana-mcp

Public

MCP server for Google Antigravity image generation

13
1
69% credibility
Found Mar 30, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This project creates a bridge allowing AI assistants like Claude to generate images through Google Antigravity's service by automatically using your locally stored login details.

How It Works

1
🔍 Discover the image booster

You hear about a simple add-on that lets your AI chat buddy create pictures using your existing Antigravity drawing tool account.

2
🚀 Start the helper

You launch the easy-to-use helper program once, and it quietly finds your Antigravity login info already saved on your computer.

3
✨ Automatic connection

Everything links up smoothly without you lifting a finger, ready to power up your AI with image magic.

4
📝 Link to your AI app

You add a quick note in your AI app's settings, like Claude, pointing it to this new helper.

5
🎨 Ask for pictures

In your chat with the AI, just describe the image you want, and it calls the helper to make it happen.

6
🖼️ See the results

Beautiful images pop up right in the conversation, generated just how you imagined.

🎉 Creative chats unlocked

Now your AI conversations burst with custom visuals, making ideas come alive effortlessly.

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Star Growth

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AI-Generated Review

What is antibanana-mcp?

antibanana-mcp is a TypeScript MCP server that lets MCP-compatible AI clients—like those in Claude Desktop, Cursor, or GitHub Copilot setups in VSCode and IntelliJ—generate images via Google Antigravity's Nano Banana API. Fire it up with `npx -y antibanana-mcp` for zero-config access to tools like `generate_image` (text-to-image with aspect ratios and resolutions up to 4K), `list_models`, and `check_quota`. It pulls your local Antigravity credentials automatically, solving the hassle of bridging AI coding tools with high-quality image gen without custom scripting.

Why is it gaining traction?

Unlike raw API wrappers, it mimics Antigravity IDE requests exactly for stealthy, quota-friendly calls, plus smart filtering to grab only the largest images per candidate. Proxy support dodges regional blocks, and env vars like `ANTIBANANA_IMAGE_FILTER=all` give fine control—ideal for n8n workflows or Python/TypeScript projects needing quick MCP server examples. Devs dig the npx simplicity over building MCP servers from scratch.

Who should use this?

AI-assisted devs prototyping UIs in Cursor/Claude, frontend teams generating mockups during code reviews, or GitHub project managers iterating designs in n8n automations. Perfect for those hitting Antigravity quotas often, wanting `mcp server ai` integration without SAP-level complexity or manual `mcp server tutorial` hunts.

Verdict

Grab it if you're in the MCP ecosystem—solid docs and npx ease make it a quick win despite 13 stars and 0.7% credibility score signaling early maturity. Test quota tools first; lacks broad adoption but punches above for Antigravity fans.

(178 words)

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