Gemini Image Generator MCP Server

Generate and transform images using Google's Gemini AI through the Model Context Protocol (MCP).

Features

• Text-to-Image Generation - Create images from natural language prompts

• Image Transformation - Modify existing images with text descriptions

• Automatic Filename Generation - Smart naming based on prompts

• Multi-Language Support - Automatic prompt translation to English

Related MCP server: Gemini Image MCP

Installation

Get a free API key from Google AI Studio.

git clone https://github.com/jonchun/gemini-image-mcp.git
cd gemini-image-mcp

# Using uv (recommended)
uv venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
uv pip install -e .

Configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "gemini-image-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/gemini-image-mcp",
        "run",
        "gemini-image-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here",
        "DEFAULT_OUTPUT_IMAGE_PATH": "/path/to/images"
      }
    }
  }
}

{
  "gemini-image-mcp": {
    "command": "uv",
    "args": [
      "--directory",
      "/ABSOLUTE/PATH/TO/gemini-image-mcp",
      "run",
      "gemini-image-mcp"
    ],
    "env": {
      "GEMINI_API_KEY": "your-api-key-here",
      "DEFAULT_OUTPUT_IMAGE_PATH": "/path/to/images"
    }
  }
}

Install from smithery.ai - search for "gemini-image-mcp".

Usage

Generate Images

Generate a photorealistic sunset over mountains with purple sky

Create a British Shorthair silver tabby kitten playing with a ball of yarn

Transform Images

Prompt: Add beautiful vibrant aurora borealis (northern lights) dancing across the sky with green, purple, and blue colors

Prompt: Add soft natural sunlight streaming through a window, creating beautiful warm light rays and gentle shadows

Available Tools

generate_image_from_text

Creates an image from a text description.

Parameters:

• prompt (required): Text description of the image

• output_dir (optional): Directory to save the image

• model (optional): Gemini model to use (defaults to GEMINI_MODEL environment variable)

Returns: Path to the saved image file

transform_image_from_file

Transforms an existing image based on a text prompt.

Parameters:

• image_file_path (required): Path to the source image

• prompt (required): Description of the transformation

• output_dir (optional): Directory to save the image

• model (optional): Gemini model to use (defaults to GEMINI_MODEL environment variable)

Returns: Path to the transformed image file

transform_image_from_encoded

Transforms a base64-encoded image.

Parameters:

• encoded_image (required): Base64 data URL (data:image/[format];base64,[data])

• prompt (required): Description of the transformation

• output_dir (optional): Directory to save the image

• model (optional): Gemini model to use (defaults to GEMINI_MODEL environment variable)

Returns: Path to the transformed image file

Configuration

Development

Test the server locally:

fastmcp dev src/gemini_image_mcp/server.py

Opens MCP Inspector at http://localhost:5173/

License

MIT