ultimate-gemini-mcp 3.0.5

Gemini 3 Pro Image MCP server with advanced features: high-resolution output (1K-4K), reference images (up to 14), Google Search grounding, and thinking mode

Gemini 3 Pro Image MCP Server 🎨

Professional MCP server for Google's Gemini 3 Pro Image - state-of-the-art image generation with advanced reasoning, high-resolution output, and Google Search grounding.

✨ Features

Gemini 3 Pro Image Capabilities

• High-Resolution Output: Generate images in 1K, 2K, and 4K resolutions
• Advanced Text Rendering: Create legible, stylized text in infographics, menus, diagrams, and marketing assets
• Up to 14 Reference Images: Mix up to 14 reference images (6 objects + 5 humans) for consistent style and characters
• Google Search Grounding: Use real-time data from Google Search (weather, stocks, events, maps)
• Thinking Mode: Model uses reasoning process to refine composition before generating final output

Advanced Capabilities

• 🤖 AI Prompt Enhancement: Automatically optimize prompts using Gemini Flash for superior results
• 🔍 Google Search Integration: Generate images based on real-time information
• 🎨 Reference Images: Use up to 14 images for style consistency and character preservation
• 📐 Flexible Aspect Ratios: Support for 10 aspect ratios (1:1, 16:9, 9:16, 3:2, 4:3, 4:5, 5:4, 2:3, 3:4, 21:9)
• 💭 Thought Process Visibility: See the model's thinking process (interim images and reasoning)
• 🚀 Batch Processing: Generate multiple images efficiently with parallel processing
• 🎯 Dual Modalities: Get both text explanations and images in responses

Production Ready

• Comprehensive error handling and validation
• Configurable settings via environment variables
• Detailed logging and debugging
• MCP resources for configuration and model information

🎬 Showcase - Gemini 3 Pro Image Features

Gemini 3 Pro Image - Experience state-of-the-art image generation with advanced reasoning and high-resolution output.

Key Features in Action

All images can be generated with 4K resolution and AI prompt enhancement enabled.

Example Use Cases

1. High-Resolution Professional Assets

Generate a 4K image of "modern office interior with natural lighting"
- Model: gemini-3-pro-image-preview
- Image Size: 4K
- Aspect Ratio: 16:9

2. Real-Time Data Visualization

Generate an image with Google Search grounding:
"Visualize the current weather forecast for the next 5 days in San Francisco as a clean, modern weather chart. Add a visual on what I should wear each day"
- Enable Google Search: true
- Aspect Ratio: 16:9

3. Reference Image Consistency

Use reference images to maintain consistent characters:
- Provide up to 5 human reference images
- Provide up to 6 object reference images
- Generate "An office group photo of these people, they are making funny faces"

4. Advanced Text Rendering

Generate infographics, menus, or diagrams with legible text:
"Create a restaurant menu with elegant typography showing appetizers, mains, and desserts"
- Image Size: 2K
- Aspect Ratio: 3:4

🔥 Why Gemini 3 Pro Image Is Powerful

1. State-of-the-Art Quality: Built-in generation capabilities up to 4K resolution
2. Advanced Reasoning: Thinking mode refines composition before final output
3. Real-Time Grounding: Google Search integration for accurate, current data
4. Character Consistency: Use up to 14 reference images for maintaining style
5. Professional Features: Advanced text rendering for infographics and marketing

🚀 Quick Start

Prerequisites

• Python 3.11 or higher
• Google Gemini API key (free)

Installation

Option 1: Using uv (Recommended)

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install and run the server
uvx ultimate-gemini-mcp

Option 2: Using pip

pip install ultimate-gemini-mcp

Option 3: From Source

git clone <repository-url>
cd ultimate-gemini-mcp
uv sync

Configuration

Create a .env file in your project directory:

cp .env.example .env
# Edit .env and add your GEMINI_API_KEY

Or set environment variables directly:

export GEMINI_API_KEY=your_api_key_here

📖 Usage

With Claude Desktop

Add to your claude_desktop_config.json:

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

Important Notes:

1. Images are automatically saved to ~/gemini_images (your home directory). You can optionally set OUTPUT_DIR to customize this location:

   • macOS: "OUTPUT_DIR": "/Users/yourusername/custom_folder"
   • Windows: "OUTPUT_DIR": "C:\\Users\\YourUsername\\custom_folder"

2. uvx path issues on macOS: If you get spawn uvx ENOENT errors, use the full path to uvx:

   "command": "/Users/yourusername/.local/bin/uvx"
   

Config file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

With Claude Code (VS Code)

# Add MCP server to Claude Code
claude mcp add ultimate-gemini \
  --env GEMINI_API_KEY=your-api-key \
  -- uvx ultimate-gemini-mcp

Note: Images are automatically saved to ~/gemini_images. To customize, add --env OUTPUT_DIR=/your/custom/path.

With Cursor

Add to Cursor's MCP configuration (.cursor/mcp.json):

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

Note: Images are automatically saved to ~/gemini_images. Optionally add "OUTPUT_DIR": "/your/custom/path" to customize.

🎯 Available Models

Gemini 3 Pro Image

• gemini-3-pro-image-preview (default): State-of-the-art image generation optimized for professional asset production with:
  • Built-in 1K, 2K, and 4K resolution support
  • Advanced text rendering capabilities
  • Up to 14 reference images for consistency
  • Google Search grounding for real-time data
  • Thinking mode with reasoning process
  • Support for both TEXT and IMAGE response modalities

🛠️ Tools

generate_image

Generate professional images using Gemini 3 Pro Image with advanced features.

Parameters:

• prompt (required): Text description of the image to generate
• model: Model to use (default: gemini-3-pro-image-preview)
• enhance_prompt: Automatically enhance prompt using AI (default: true)
• aspect_ratio: Aspect ratio like 1:1, 16:9, 9:16, 3:2, 4:5, etc. (default: 1:1)
• image_size: Resolution: 1K, 2K, or 4K (default: 1K)
• output_format: Image format: png, jpeg, webp (default: png)
• reference_image_paths: List of paths to reference images (up to 14 total)
  • Maximum 6 object images for high-fidelity inclusion
  • Maximum 5 human images for character consistency
• enable_google_search: Enable Google Search grounding for real-time data (default: false)
• response_modalities: Response types like ["TEXT", "IMAGE"] (default: both)

Examples:

1. Basic image generation:
   Generate an image of "a serene mountain landscape at sunset with a lake reflection"

2. High-resolution with specific aspect ratio:
   Generate a 4K image of "modern minimalist architecture" with aspect_ratio 16:9

3. With Google Search grounding:
   Generate an image with Google Search enabled: "Current weather map for New York City"

4. With reference images:
   Generate an image with reference_image_paths: ["/path/person1.png", "/path/person2.png"]
   and prompt: "An office group photo of these people making funny faces"

batch_generate

Process multiple prompts efficiently with parallel batch processing.

Parameters:

• prompts (required): List of text prompts
• model: Model to use for all images
• enhance_prompt: Enhance all prompts (default: true)
• aspect_ratio: Aspect ratio for all images
• batch_size: Parallel processing size (default: from config)

Example:

Batch generate images for these prompts:
1. "minimalist logo design for a tech startup"
2. "modern dashboard UI design"
3. "mobile app wireframe"

🎨 Advanced Features

AI Prompt Enhancement

When enabled (default), the server uses Gemini Flash to automatically enhance your prompts:

Original: a cat wearing a space helmet

Enhanced: A photorealistic portrait of a domestic tabby cat wearing a futuristic space helmet, close-up composition, warm studio lighting, detailed fur texture, reflective helmet visor showing subtle reflections, soft focus background, professional photography style

This significantly improves image quality without requiring you to be a prompt engineering expert!

Google Search Grounding

Generate images based on real-time data:

Generate an image with Google Search enabled:
- prompt: "Visualize the current weather forecast for San Francisco as a modern chart"
- enable_google_search: true

The response will include grounding metadata with search sources used.

Reference Images for Consistency

Maintain consistent characters and objects across generations:

Generate an image with:
- prompt: "An office group photo of these people, they are making funny faces"
- reference_image_paths: ["/path/person1.png", "/path/person2.png", "/path/person3.png"]
- aspect_ratio: "5:4"
- image_size: "2K"

You can provide up to 14 reference images (max 6 objects, max 5 humans).

High-Resolution Assets

Generate professional 4K assets:

Generate a 4K image of "minimalist logo design for a tech startup"
with image_size: "4K" and aspect_ratio: "1:1"

⚙️ Configuration

Environment Variables

Variable	Description	Default
GEMINI_API_KEY	Google Gemini API key (required)	-
OUTPUT_DIR	Directory for generated images	~/gemini_images
ENABLE_PROMPT_ENHANCEMENT	Enable AI prompt enhancement	true
ENABLE_BATCH_PROCESSING	Enable batch processing	true
DEFAULT_MODEL	Default model	gemini-3-pro-image-preview
DEFAULT_IMAGE_SIZE	Default resolution	2K
ENABLE_GOOGLE_SEARCH	Enable Google Search grounding	false
REQUEST_TIMEOUT	API request timeout (seconds)	60
MAX_BATCH_SIZE	Maximum parallel batch size	8
LOG_LEVEL	Logging level	INFO

📚 MCP Resources

models://list

View all available models with descriptions and features.

settings://config

View current server configuration.

🎭 Use Cases

Web Development

• Hero images and banners
• UI/UX mockups and wireframes
• Logo and branding assets
• Placeholder images

App Development

• App icons and splash screens
• User interface elements
• Marketing materials
• Documentation images

Content Creation

• Blog post illustrations
• Social media graphics
• Presentation visuals
• Product mockups

Creative Projects

• Character design iterations
• Concept art exploration
• Style variations
• Scene composition

📊 Gemini 3 Pro Image Features

Feature	Support	Details
Resolution Options	✅ 1K, 2K, 4K	Built-in high-resolution generation
Reference Images	✅ Up to 14	6 objects + 5 humans for consistency
Google Search Grounding	✅ Real-time data	Weather, stocks, events, maps
Thinking Mode	✅ Advanced reasoning	Visible thought process and interim images
Text Rendering	✅ Advanced	Legible text in infographics, menus, diagrams
Aspect Ratios	✅ 10 options	Full flexibility for any format
Response Modalities	✅ TEXT + IMAGE	Dual output modes
Prompt Enhancement	✅ Built-in	AI-powered optimization
Thought Signatures	✅ Automatic	Preserved across multi-turn interactions
Best For	Professional assets, marketing, real-time visualization

🐛 Troubleshooting

"spawn uvx ENOENT" error

• Cause: Claude Desktop cannot find the uvx command in its PATH
• Solution: Use the full path to uvx in your config:

  "command": "/Users/yourusername/.local/bin/uvx"
  

• Find your uvx location with: which uvx

Custom output directory

• Default: Images are automatically saved to ~/gemini_images in your home directory
• Customize: Set OUTPUT_DIR in your MCP config if you want a different location:

  "env": {
    "GEMINI_API_KEY": "your-key",
    "OUTPUT_DIR": "/your/custom/path"
  }
  

"GEMINI_API_KEY not found"

• Add your API key to .env or environment variables
• Get a free key at Google AI Studio

"Content blocked by safety filters"

• Modify your prompt to comply with content policies
• Try rephrasing without potentially sensitive content

"Rate limit exceeded"

• Wait a few moments and try again
• Consider upgrading your API plan for higher limits

Images not saving

• Check that OUTPUT_DIR exists and is writable
• Verify you have sufficient disk space
• Create the directory manually: mkdir -p /path/to/your/images

🤝 Contributing

Contributions are welcome! This project combines the best features from multiple MCP servers:

• mcp-image (TypeScript): Prompt enhancement and editing features
• nanobanana-mcp-server (Python): Architecture and FastMCP integration
• gemini-imagen-mcp-server (TypeScript): Imagen API support and batch processing

📄 License

MIT License - see LICENSE file for details.

🙏 Acknowledgments

Built on the excellent work of:

• mcp-image - Prompt enhancement concept
• nanobanana-mcp-server - FastMCP architecture
• gemini-imagen-mcp-server - Imagen integration

🔗 Links

• Google AI Studio - Get your API key
• Gemini API Documentation
• Model Context Protocol

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Ready to create amazing AI-generated images? Install now and start generating! 🚀