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Gemini Image MCP Server

Gemini Image MCP Server

An MCP (Model Context Protocol) server that provides AI image generation tools using Google's Gemini models. Supports single and batch image generation, multiple reference images, WebP conversion, and direct WordPress upload.

Features

  • Two quality tiers -- Pro (Gemini 3 Pro Image Preview, up to 4K) and Fast (Gemini 2.5 Flash Image, 1K max)
  • Reference images -- up to 14 reference images per generation (Pro mode)
  • Batch generation -- queue multiple images, review, then generate in one run
  • WebP conversion -- convert PNG/JPG to WebP for web optimization
  • WordPress upload -- upload WebP images directly to WordPress media library
  • Configurable -- all paths, limits, and delays via config.json

Tools Provided

Tool Description
generate_image Generate a single image immediately
add_to_batch Queue an image for batch generation
remove_from_batch Remove from queue by index or filename
view_batch_queue View queued images
run_batch Generate all queued images
convert_to_webp Convert generated images to WebP
upload_to_wordpress Upload WebP images to WordPress
get_generated_webp_images Get base64 data of WebP images

Quick Start

1. Clone and configure

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

# Create config from example
cp config.json.example config.json
cp .env.example .env

2. Set your API key

Edit .env:

GEMINI_API_KEY=your-gemini-api-key-here

3. Edit config.json

Update paths in config.json to match your system. The images_dir path supports ~ expansion.

4. Install dependencies

pip install requests

WebP conversion also requires uv and Pillow (handled automatically by uv).

5. Add to your MCP client

Claude Code (~/.claude/settings.json)

{
  "mcpServers": {
    "gemini-custom": {
      "command": "python3",
      "args": ["/path/to/gemini-image-mcp/src/gemini_image_server.py"],
      "env": {
        "GEMINI_API_KEY": "your-key-here"
      }
    }
  }
}

Or run as a systemd service

See docs/systemd-service.example for a template.

Project Structure

gemini-image-mcp/
├── src/
│   ├── gemini_image_server.py   # Main MCP server
│   ├── batch_manager.py         # Batch queue management
│   └── batch_generate.py        # Batch image generation
├── scripts/
│   └── webp-convert.py          # PNG/JPG to WebP converter
├── skills/
│   ├── gemini-image-generation-SKILL.md        # Claude skill file
│   └── example-brand-image-guidelines-SKILL.md # Brand template skill
├── docs/
│   └── systemd-service.example  # Systemd service template
├── config.json.example          # Configuration template
├── .env.example                 # Environment variable template
├── .gitignore
├── LICENSE
└── README.md

Configuration

config.json fields:

Field Description Default
images_dir Base output directory for images ~/Pictures/ai-generated-images
batch_subdir Subdirectory for batch output batch
queue_filename Batch queue file name batch_queue.json
batch_manager_script Path to batch manager ./src/batch_manager.py
batch_generate_script Path to batch generator ./src/batch_generate.py
webp_convert_script Path to WebP converter ./scripts/webp-convert.py
max_reference_images Max reference images per generation 14
api_delay_seconds Delay between batch API calls 3

Claude Skills

The skills/ directory contains Claude Code skill files:

  • gemini-image-generation-SKILL.md -- comprehensive guide for using the image generation tools, prompt engineering, workflows, and troubleshooting
  • example-brand-image-guidelines-SKILL.md -- template for creating brand-specific image generation guidelines

Copy these to your Claude Code skills directory to give Claude detailed knowledge of how to use this server.

Quality Tiers

Pro Fast
Model Gemini 3 Pro Image Preview Gemini 2.5 Flash Image
Max resolution 4K (4096px) 1K (1024px)
Reference images Up to 14 Not supported
Text rendering Good Poor with complex text
Best for Production content Quick tests, iterations

License

MIT

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