Gemini Nano Banana MCP

An MCP (Model Context Protocol) server for AI-powered image generation, editing, and video generation using Google Gemini and Veo. Works with Claude Code, Cursor, and any MCP-compatible client.

Features

• Text-to-Image Generation - Generate images from text prompts via Gemini AI
• Image Editing - Edit existing images with natural language instructions
• Reference Images - Use reference images for style and content guidance
• Text-to-Video Generation - Generate videos from text prompts using Veo (veo-3.1, veo-3, veo-2)
• Image-to-Video - Use an image as the first frame for video generation
• First & Last Frame Interpolation - Generate videos between two keyframe images
• Session Memory - Continue editing the last image without re-specifying the path
• Configurable Models - Choose any Gemini model for images, any Veo model for videos
• Media History - Track and browse recently generated images and videos
• Cross-Platform - Works on macOS, Windows, and Linux

Quick Start

1. Get a Gemini API Key

Get your free API key from Google AI Studio.

2. Install

npm install -g @seungmanchoi/nano-banana-mcp

Or install from source:

git clone https://github.com/seungmanchoi/nano-banana-mcp.git
cd nano-banana-mcp
npm install
npm run build

3. Configure Your MCP Client

Claude Code

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "nano-banana": {
      "command": "npx",
      "args": ["-y", "@seungmanchoi/nano-banana-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Cursor

Add to your MCP settings:

{
  "mcpServers": {
    "nano-banana": {
      "command": "npx",
      "args": ["-y", "@seungmanchoi/nano-banana-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

From Source

If installed from source, use the absolute path:

{
  "mcpServers": {
    "nano-banana": {
      "command": "node",
      "args": ["/absolute/path/to/nano-banana-mcp/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

You can also skip the env field and configure the API key at runtime using the configure_api_key tool.

Authentication Modes

This server supports two authentication modes. The default is API key mode (above).

Mode A — API key (official, default)

Uses a Gemini API key from Google AI Studio. Supports image generation, image editing, and video (Veo). Note that image generation models are largely a paid feature.

Mode B — Free Google-cookie mode (consumer Gemini, unofficial)

Drives your logged-in gemini.google.com session via its session cookies instead of an API key. Free, and supports image generation + editing only (no video).

⚠️ This mode is unofficial. It talks to an undocumented internal endpoint, not the official API. It may break when Google changes things, cookies expire periodically and must be re-extracted, and use is a Terms-of-Service gray area. Intended for personal use with your own account.

1. Extract your cookies from a browser where you're logged into gemini.google.com:

1. Open https://gemini.google.com and sign in.
2. DevTools (F12) → Application → Cookies → https://gemini.google.com.
3. Copy the value of __Secure-1PSID (required) and __Secure-1PSIDTS (recommended).

2a. Configure via environment variables:

{
  "mcpServers": {
    "nano-banana": {
      "command": "npx",
      "args": ["-y", "@seungmanchoi/nano-banana-mcp"],
      "env": {
        "GEMINI_AUTH_MODE": "gemini-web",
        "GEMINI_SECURE_1PSID": "your-__Secure-1PSID-value",
        "GEMINI_SECURE_1PSIDTS": "your-__Secure-1PSIDTS-value"
      }
    }
  }
}

2b. Or configure at runtime with the configure_google_login tool:

Use configure_google_login with secure1psid "<...>" and secure1psidts "<...>"

This switches the active mode to gemini-web and persists to ~/.nano-banana/config.json. Run configure_api_key again at any time to switch back to API key mode.

Model Configuration

Image Models

The default image model is gemini-2.0-flash-preview-image-generation. You can change it in several ways:

Option 1: Environment Variable

Set GEMINI_MODEL in your MCP client config:

{
  "mcpServers": {
    "nano-banana": {
      "command": "npx",
      "args": ["-y", "@seungmanchoi/nano-banana-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here",
        "GEMINI_MODEL": "gemini-2.0-flash-preview-image-generation"
      }
    }
  }
}

Option 2: Runtime Tool

Use the configure_model tool to change the default model at runtime. The setting persists across sessions in ~/.nano-banana/config.json.

Set the model to imagen-3.0-generate-002

Option 3: Per-Request Override

Pass the model parameter directly to generate_image, edit_image, or continue_editing to override the default for a single request:

Generate an image of a cat using model imagen-3.0-generate-002

Model Priority

1. Per-request model parameter (highest priority)
2. GEMINI_MODEL environment variable
3. Config file (~/.nano-banana/config.json)
4. Default: gemini-2.0-flash-preview-image-generation

Available Image Models

Model	Tier	Description
gemini-2.0-flash-preview-image-generation	Free	Default. Native image generation via Gemini 2.0 Flash.
imagen-3.0-generate-002	Paid	Best quality. Google's dedicated image generation model.
imagen-3.0-fast-generate-001	Paid	Fast variant of Imagen 3, optimized for speed.

Note: Free-tier API keys support gemini-2.0-flash-preview-image-generation. Imagen models require billing enabled on your Google Cloud project.

Available Video Models

Model	Description
veo-3.1-generate-preview	Latest. Native audio, scene extension, reference images, 4K support.
veo-3-generate-preview	Previous generation with audio support.
veo-2-generate-preview	Older generation, stable.

For the latest list of models, see Google AI documentation.

Tools

Image Tools

Tool	Description
configure_api_key	Set or update the Gemini API key (switches to apiKey mode). Persists across sessions.
configure_google_login	Switch to free, unofficial gemini-web mode using consumer Gemini cookies (secure1psid, optional secure1psidts). Image generation + editing only.
configure_model	Set the default Gemini model for images (apiKey mode). Persists across sessions.
generate_image	Generate a new image from a text description. Supports optional model override.
edit_image	Edit an existing image with text instructions, optional reference images, and optional model override.
continue_editing	Continue editing the last generated/edited image in the session. Supports optional model override.
list_history	List recently generated and edited images with prompts and timestamps.

Video Tools

Tool	Description
generate_video	Generate a video from a text prompt. Supports text-to-video, image-to-video, and frame interpolation.
list_video_history	List recently generated videos with prompts, models, and timestamps.

Utility Tools

Tool	Description
get_status	Check configuration status, active models, output directories, and last image/video info.

Usage Examples

Image Generation

Generate an image of a sunset over mountains with a lake reflection

Edit the image at ~/nano-banana-images/gen_2025-01-01.png to add a boat on the lake

Continue editing - make the sky more vibrant with orange and pink tones

Video Generation

Generate a video of ocean waves crashing on a rocky shore at sunset

Generate a video of a cat playing with yarn, model veo-3.1-generate-preview, resolution 1080p, duration 8 seconds

Image-to-Video (First Frame)

Generate a video starting from the image at ~/nano-banana-images/gen_2025-01-01.png showing the scene coming to life with wind blowing through the trees

First + Last Frame Interpolation

Generate a video transitioning from the image at ~/images/start.png to ~/images/end.png with a smooth camera pan

Portrait Video

Generate a video of a person walking through a garden, aspect ratio 9:16

History & Status

Show me the last 5 images I generated

Show me recent video history

Check the current status

Switch to imagen-3.0-generate-002 model for higher quality

Video Generation Details

Configuration Options

Parameter	Options	Default	Description
model	veo-3.1-generate-preview, veo-3-generate-preview, veo-2-generate-preview	veo-3.1-generate-preview	Veo model to use
aspectRatio	16:9, 9:16	16:9	Landscape or portrait
resolution	720p, 1080p, 4k	720p	Output resolution
durationSeconds	4, 6, 8 (number)	Varies by model	Video length
numberOfVideos	1+	1	Number of variants
negativePrompt	Any text	-	Elements to avoid

Generation Modes

1. Text-to-Video: Provide only a prompt
2. Image-to-Video: Provide prompt + imagePath (used as first frame)
3. Frame Interpolation: Provide prompt + imagePath (first frame) + lastFramePath (last frame)

Important Notes

• Video generation takes 1-6 minutes depending on load
• Generated videos are saved as .mp4 files
• Videos are watermarked with SynthID technology
• Pricing: $0.75 per second of generated video
• Videos are retained on Google servers for 2 days after generation

API Key Configuration

The server loads the API key in the following priority order:

1. Environment variable - GEMINI_API_KEY
2. Config file - ~/.nano-banana/config.json
3. Runtime - via the configure_api_key tool

File Storage

Images

Platform	Path
macOS / Linux	~/nano-banana-images/
Windows	Documents\nano-banana-images\

Videos

Platform	Path
macOS / Linux	~/nano-banana-videos/
Windows	Documents\nano-banana-videos\

Project Structure

src/
├── index.ts              # Entry point
├── server.ts             # MCP server setup and request routing
├── config/
│   └── settings.ts       # API key and model management
├── services/
│   ├── gemini.ts         # Google Gemini & Veo API client
│   └── storage.ts        # Image/video file I/O and history tracking
├── tools/
│   ├── definitions.ts    # MCP tool schemas
│   └── handlers.ts       # Tool request handlers
└── types/
    └── index.ts          # TypeScript type definitions

Development

npm run dev          # Run with tsx (no build needed)
npm run build        # Compile TypeScript
npm run typecheck    # Type check without emitting
npm run lint         # Run ESLint

Tech Stack

• Runtime: Node.js
• Language: TypeScript (strict mode, ES2022)
• MCP SDK: @modelcontextprotocol/sdk
• AI Models: Google Gemini (images) + Veo (videos)
• Validation: Zod

License

MIT