Banana Image MCP

Banana Image MCP

Enables Claude and other AI assistants to generate high-quality images up to 4K resolution using Google's Gemini image models, with support for flexible aspect ratios, natural language editing, and Google Search grounding for accurate results.

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README

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<!-- PROJECT LOGO --> <br /> <div align="center"> <a href="https://github.com/zengwenliang416/banana-image-mcp"> <img src="./assets/logo.svg" alt="Logo" width="120" height="120"> </a>

<h1 align="center">Banana Image MCP</h1>

<p align="center"> <b>Let Claude Generate Stunning 4K Images for You</b> <br /> An MCP server that brings AI image generation to Claude Desktop <br /> <br /> <a href="#quick-start"><strong>Quick Start</strong></a>  ·  <a href="https://github.com/zengwenliang416/banana-image-mcp/issues/new?labels=bug">Report Bug</a>  ·  <a href="https://github.com/zengwenliang416/banana-image-mcp/issues/new?labels=enhancement">Request Feature</a> </p>

<p align="center"> <a href="./README_CN.md">中文</a> </p> </div>

<!-- DEMO --> <div align="center"> <img src="./assets/demo.gif" alt="Demo" width="800"> </div> <br />

<!-- ABOUT THE PROJECT -->

About The Project

Banana Image MCP is a production-ready MCP (Model Context Protocol) server that enables Claude and other AI assistants to generate high-quality images using Google's latest Gemini image models.

Simply describe what you want, and Claude will create it — from quick concept sketches to stunning 4K professional artwork.

Why Banana Image MCP?

  • Zero Setup Complexity — Just add your API key and start generating
  • Production Ready — Built with FastMCP framework, fully tested, CI/CD enabled
  • Best Quality — Leverages Gemini's most advanced image models with 4K support
  • Smart Defaults — Intelligent model selection based on your prompts
  • Real-World Knowledge — Google Search grounding for accurate, factual images

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Built With

  • Python
  • FastMCP
  • Google Gemini
  • uv

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<!-- FEATURES -->

Features

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4K Ultra HD Output

Generate images up to 3840px with the Pro model. Perfect for professional work, marketing materials, and print-ready assets.

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Dual Model Support

  • Flash: 2-3s, up to 1024px — for quick iterations
  • Pro: 5-8s, up to 4K — for final deliverables

</td> </tr> <tr> <td width="50%">

Smart Model Selection

The server automatically picks the best model based on your prompt. Say "quick sketch" for Flash, or "4K professional" for Pro.

</td> <td width="50%">

Google Search Grounding

Pro model uses real-world knowledge from Google Search to generate more accurate and factual images.

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Flexible Aspect Ratios

Support for all common ratios: 1:1, 16:9, 9:16, 4:3, 3:2, 21:9 and more.

</td> <td width="50%">

Natural Language Editing

Edit existing images with simple text commands like "make the sky more dramatic" or "remove the background".

</td> </tr> </table>

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<!-- GETTING STARTED -->

Quick Start

Get up and running in under 2 minutes.

Prerequisites

Installation

Add to your Claude Desktop config file:

{
  "mcpServers": {
    "banana-image": {
      "command": "uvx",
      "args": ["banana-image-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

<details> <summary>📁 <b>Config file locations</b></summary>

Platform Path
macOS ~/Library/Application Support/Claude/claude_desktop_config.json
Windows %APPDATA%\Claude\claude_desktop_config.json
Linux ~/.config/Claude/claude_desktop_config.json

</details>

<details> <summary>🔄 <b>Updating to the latest version</b></summary>

When using uvx, packages are cached locally. To get the latest version:

# Clear the cache for this package
uv cache clean banana-image-mcp

# Then restart Claude Desktop

Or specify a version explicitly in your config:

"args": ["banana-image-mcp==1.0.1"]

</details>

<details> <summary>🔌 <b>Other MCP clients (Cursor, VS Code, Cline, etc.)</b></summary>

The configuration is the same for other MCP-compatible clients. Just add the server config to your client's MCP configuration file.

</details>

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<!-- USAGE EXAMPLES -->

Usage

Just ask Claude to generate images naturally:

"Generate a cute cat wearing a space suit"

"Create a professional product photo of a coffee cup, 4K quality"

"Make a 16:9 YouTube thumbnail about cooking"

"Edit this image: make the sky more dramatic"

Model Comparison

Model Speed Max Resolution Best For
Gemini 2.5 Flash 2-3s 1024px Quick drafts, iterations, prototypes
Gemini 3 Pro 5-8s 4K (3840px) Final assets, marketing, professional work

The server defaults to Pro model for best quality. Control it with keywords:

Say this... Model Used
"quick sketch", "draft", "prototype" Flash
"4K", "professional", "high quality" Pro
(default) Pro

Parameters Reference

Parameter Type Default Description
prompt string required Image description
model_tier string "pro" "flash", "pro", or "auto"
resolution string "4k" "1k", "2k", "4k", "high"
aspect_ratio string - "1:1", "16:9", "9:16", "4:3", "21:9", etc.
thinking_level string "high" "low" or "high" (Pro only)
enable_grounding bool true Enable Google Search grounding (Pro only)
n int 1 Number of images (1-4)
negative_prompt string - What to avoid in the image

Environment Variables

Variable Required Default Description
GEMINI_API_KEY Yes - Your Gemini API key
IMAGE_OUTPUT_DIR No ~/banana-images Where to save generated images

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<!-- USE CASES -->

What You Can Create

<table> <tr> <td align="center" width="33%"> <b>Product Photography</b><br/> Professional shots with studio lighting </td> <td align="center" width="33%"> <b>Concept Art</b><br/> Fantasy landscapes, character designs </td> <td align="center" width="33%"> <b>Marketing Materials</b><br/> Social graphics, banners, thumbnails </td> </tr> <tr> <td align="center" width="33%"> <b>Technical Diagrams</b><br/> Flowcharts, architecture diagrams </td> <td align="center" width="33%"> <b>Photo-realistic Images</b><br/> Portraits, nature, urban photography </td> <td align="center" width="33%"> <b>UI/UX Mockups</b><br/> App interfaces, web designs </td> </tr> </table>

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<!-- ROADMAP -->

Roadmap

  • [x] 4K resolution output (up to 3840px)
  • [x] Dual model support (Flash + Pro)
  • [x] Google Search grounding
  • [x] Flexible aspect ratios
  • [x] Natural language image editing
  • [x] GitHub Actions CI/CD
  • [ ] Batch image generation
  • [ ] Image-to-image transformation
  • [ ] Video generation support
  • [ ] Local model support (Ollama)

See the open issues for a full list of proposed features and known issues.

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<!-- DEVELOPMENT -->

Development

# Clone the repository
git clone https://github.com/zengwenliang416/banana-image-mcp.git
cd banana-image-mcp

# Install dependencies
uv sync

# Run in development mode
fastmcp dev banana_image_mcp.server:create_app

# Run tests
pytest

# Lint and format
ruff check .
ruff format .

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<!-- CONTRIBUTING -->

Contributing

Contributions make the open source community amazing. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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<!-- LICENSE -->

License

Distributed under the MIT License. See LICENSE for more information.

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<!-- CONTACT -->

Contact

Wenliang Zeng - @zengwenliang416

Project Link: https://github.com/zengwenliang416/banana-image-mcp

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<!-- ACKNOWLEDGMENTS -->

Acknowledgments

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