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@dondonudonjp/nanobanana-mcp-server

v0.4.0

Published

MCP server for Google Gemini NanoBanana (2.5 Flash Image, 3 Pro Image & 3.1 Flash Image) AI image generation and editing

Readme

NanoBanana MCP Server

Model Context Protocol server for Google Gemini NanoBanana (2.5 Flash Image & 3 Pro Image) AI generation and editing.

🚀 Installation

Global Installation (Recommended)

Install globally via npm:

npm install -g nanobanana-mcp-server

After installation, the server will be available as nanobanana-mcp command.

Local Development Installation

git clone <repository-url>
cd Gemini2.5FlashImageMCPServer
npm install
npm run build

⚙️ Configuration

Environment Variables

Create a .env file or set environment variables:

GEMINI_API_KEY=your_gemini_api_key_here
NANOBANANA_OUTPUT_DIR=~/Downloads/nanobanana-images
DEBUG=false
MCP_SERVER_NAME=nanobanana-mcp-server

Claude Desktop Integration

Global Installation Setup

Add to your Claude Desktop configuration (%APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "nanobanana": {
      "command": "nanobanana-mcp",
      "env": {
        "GEMINI_API_KEY": "your_gemini_api_key_here",
        "NANOBANANA_OUTPUT_DIR": "C:\\Users\\YourUsername\\Downloads\\nanobanana-images",
        "DEBUG": "false"
      }
    }
  }
}

Local Installation Setup

{
  "mcpServers": {
    "nanobanana": {
      "command": "node",
      "args": ["path/to/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your_gemini_api_key_here",
        "NANOBANANA_OUTPUT_DIR": "path/to/output/directory",
        "DEBUG": "false"
      }
    }
  }
}

🎨 Available Tools

generate_image

Generate images from text prompts with optional style, aspect ratio, and reference images for style/content guidance.

Parameters:

  • prompt (required): Text description of the image
  • style (optional): Style specification (e.g., "photorealistic", "artistic", "cartoon")
  • aspectRatio (optional): Aspect ratio (e.g., "16:9", "4:3", "1:1", "9:16")
  • referenceImagePaths (optional): Array of reference image paths for style/content guidance
    • Flash model: max 3 images
    • Pro model: max 14 images
  • model (optional): gemini-2.5-flash-image or gemini-3-pro-image-preview
  • resolution (optional): 1K, 2K, or 4K (Pro model only)
  • output_path (optional): Custom output path

Example (text only):

{
  "prompt": "A serene mountain lake at sunset with reflections",
  "aspectRatio": "16:9",
  "style": "photorealistic"
}

Example (with reference images):

{
  "prompt": "Generate a new scene with this character looking at snowy night sky",
  "referenceImagePaths": ["./character_sheet.png"],
  "aspectRatio": "3:4",
  "model": "gemini-3-pro-image-preview",
  "resolution": "1K"
}

edit_image

Edit existing images using natural language instructions.

Parameters:

  • imagePath (required): Path to input image
  • instruction (required): Editing instruction
  • outputPath (optional): Custom output path

multi_image_fusion

Blend multiple images into a single image.

Parameters:

  • imagePaths (required): Array of image paths
    • Flash model: max 3 images
    • Pro model: max 14 images
  • instruction (required): Fusion instructions
  • model (optional): gemini-2.5-flash-image or gemini-3-pro-image-preview
  • resolution (optional): 1K, 2K, or 4K (Pro model only)
  • output_path (optional): Custom output path

character_consistency

Create new images with consistent character from reference.

Parameters:

  • characterImagePath (required): Reference character image
  • scenePrompt (required): New scene description
  • outputPath (optional): Custom output path

list_generated_images

List all generated images with metadata.

Parameters:

  • limit (optional): Maximum number of images (default: 50)

📏 Supported Aspect Ratios

| Ratio | Description | Resolution | |-------|-------------|------------| | 16:9 | Widescreen | 1920×1080 | | 9:16 | Portrait (mobile) | 1080×1920 | | 4:3 | Standard | 1600×1200 | | 3:4 | Portrait | 1200×1600 | | 1:1 | Square | 1024×1024 | | 3:2 | Photo standard | 1536×1024 | | 2:3 | Portrait photo | 1024×1536 | | 21:9 | Ultrawide | 2560×1097 |

🔧 Usage

MCP Server (for Claude Desktop)

# Start the MCP server
nanobanana-mcp

# Or with environment variables
GEMINI_API_KEY=your_key nanobanana-mcp

Batch CLI (for command line)

# Basic batch processing
nanobanana-batch batch.json

# Specify output directory
nanobanana-batch batch.json --output-dir ./my-images

# JSON output for scripting
nanobanana-batch batch.json --format json > result.json

# Custom timeout (20 minutes)
nanobanana-batch batch.json --timeout 1200000

# Show help
nanobanana-batch --help

Programmatic Usage

# Local development (MCP server)
npm run dev

# Local development (Batch CLI)
npm run dev:batch batch.json

# Production
npm start        # MCP server
npm run batch    # Batch CLI

📦 Batch Processing

The nanobanana-batch command processes multiple image jobs from a JSON configuration file.

Batch Config Format

{
  "jobs": [
    {
      "type": "generate",
      "prompt": "A beautiful sunset over mountains",
      "output_filename": "sunset.png",
      "aspectRatio": "16:9",
      "style": "photorealistic"
    },
    {
      "type": "generate",
      "prompt": "This character gazing at snowy night sky",
      "referenceImagePaths": ["./character_sheet.png"],
      "output_filename": "character_snow.png",
      "aspectRatio": "3:4",
      "model": "gemini-3-pro-image-preview",
      "resolution": "1K"
    },
    {
      "type": "edit",
      "imagePath": "./input.png",
      "instruction": "Make it more vibrant",
      "output_filename": "edited.png"
    },
    {
      "type": "fusion",
      "imagePaths": ["./a.png", "./b.png"],
      "instruction": "Blend the styles together"
    },
    {
      "type": "character",
      "characterImagePath": "./character.png",
      "scenePrompt": "In a magical forest"
    }
  ],
  "output_dir": "./output",
  "max_concurrent": 2,
  "timeout": 600000
}

Supported Job Types

| Type | Required Fields | Optional Fields | Description | |------|-----------------|-----------------|-------------| | generate | prompt | referenceImagePaths[], style | Text-to-image generation with optional reference images | | edit | imagePath, instruction | | Edit existing image | | fusion | imagePaths[], instruction | | Blend multiple images | | character | characterImagePath, scenePrompt | | Character consistency |

Common Job Options

All job types support these optional fields:

  • output_filename: Custom output filename
  • model: gemini-2.5-flash-image or gemini-3-pro-image-preview
  • resolution: 1K, 2K, or 4K (Pro model only)
  • aspectRatio: 1:1, 16:9, 9:16, etc.

Batch CLI Options

| Option | Description | |--------|-------------| | --output-dir <path> | Output directory (overrides config and env) | | --format <text\|json> | Output format (default: text) | | --timeout <ms> | Timeout in milliseconds (default: 600000) | | --help, -h | Show help | | --version, -v | Show version |

🛠 Development

Build

npm run build

Clean

npm run clean

📋 Requirements

  • Node.js 18+
  • Google Gemini API key
  • Claude Desktop (for MCP integration)

🤖 Model Comparison

| Feature | gemini-2.5-flash-image | gemini-3-pro-image-preview | |---------|------------------------|----------------------------| | Speed | Fast (~5-10s) | Slower (~20-30s) | | Resolution | 1K (fixed) | 1K / 2K / 4K (selectable) | | Max Reference Images | 3 | 14 | | Aspect Ratio | Via prompt | Via API parameter | | Pricing | Free tier available | Paid preview | | Best For | Quick iterations | High quality output |

💰 Pricing

  • Gemini 2.5 Flash Image: Free tier available (60 requests/min via AI Studio)
  • Gemini 3 Pro Image: Paid preview, requires billing enabled

📄 License

MIT License