ultimate-gemini-mcp 1.0.5

Ultimate image generation MCP server unifying Gemini 2.5 Flash Image and Imagen 4/Fast/Ultra with advanced features

Ultimate Gemini MCP Server 🎨

The most comprehensive MCP server for AI image generation, unifying Google's Gemini 2.5 Flash Image and Imagen 4/Ultra models with advanced features.

✨ Features

Unified API Support

• Gemini 2.5 Flash Image: Advanced image generation with AI-powered prompt enhancement and editing
• Imagen 4 & 4-Ultra: High-quality image generation with professional controls
• Automatic model detection and parameter optimization

Advanced Capabilities

• 🤖 AI Prompt Enhancement: Automatically optimize prompts using Gemini Flash for superior results
• 🎨 Image Editing: Modify existing images with natural language instructions
• 🚀 Batch Processing: Generate multiple images efficiently with parallel processing
• 🎯 Character Consistency: Maintain character features across multiple generations
• 🌍 World Knowledge: Integrate accurate real-world context for historical/factual subjects
• 🎭 Multi-Image Blending: Combine multiple visual elements naturally
• 🎲 Reproducible Results: Use seeds for consistent generation (Imagen)
• ⚫ Negative Prompts: Specify what to avoid in images (Imagen)

Production Ready

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

🚀 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"
      }
    }
  }
}

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

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"
      }
    }
  }
}

🎯 Available Models

Gemini Models

• gemini-2.5-flash-image (default): Advanced image generation with prompt enhancement and editing

Imagen Models

• imagen-4: High-quality image generation with improved text rendering
• imagen-4-fast: Optimized for faster generation with good quality
• imagen-4-ultra: Highest quality with best prompt adherence and professional results

🛠️ Tools

generate_image

Generate images using any supported model with comprehensive parameters.

Parameters:

• prompt (required): Text description of the image
• model: Model to use (default: gemini-2.5-flash-image)
• enhance_prompt: Automatically enhance prompt (default: true)
• number_of_images: Number of images to generate, 1-4 (default: 1)
• aspect_ratio: Aspect ratio like 1:1, 16:9, 9:16 (default: 1:1)
• output_format: Image format: png, jpeg, webp (default: png)

Gemini-Specific Parameters:

• input_image_path: Path to input image for editing
• maintain_character_consistency: Maintain character features across generations
• blend_images: Enable multi-image blending
• use_world_knowledge: Use real-world knowledge for context

Imagen-Specific Parameters:

• person_generation: Person policy: dont_allow, allow_adult, allow_all
• negative_prompt: What to avoid in the image
• seed: Random seed for reproducibility

Example:

Generate an image of "a serene mountain landscape at sunset with a lake reflection" using imagen-4-ultra

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!

Image Editing

Use natural language to edit existing images (Gemini model):

Generate an image with:
- prompt: "Add a red scarf to the person"
- input_image_path: "/path/to/image.jpg"

Character Consistency

Generate the same character in different scenes:

Generate an image of "a young wizard in a library, studying ancient books"
with maintain_character_consistency: true

Then:

Generate an image of "the same young wizard, now in a magical forest"
with maintain_character_consistency: true

Reproducible Results

Use seeds for consistent generation (Imagen models):

Generate an image with:
- prompt: "a futuristic cityscape"
- model: "imagen-4-ultra"
- seed: 42

Running with the same seed will produce the same image.

⚙️ Configuration

Environment Variables

Variable	Description	Default
GEMINI_API_KEY	Google Gemini API key (required)	-
OUTPUT_DIR	Directory for generated images	generated_images
ENABLE_PROMPT_ENHANCEMENT	Enable AI prompt enhancement	true
ENABLE_BATCH_PROCESSING	Enable batch processing	true
DEFAULT_GEMINI_MODEL	Default Gemini model	gemini-2.5-flash-image
DEFAULT_IMAGEN_MODEL	Default Imagen model	imagen-4-ultra
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

📊 Comparison

Feature	Gemini 2.5 Flash	Imagen 4/Fast/Ultra
Prompt Enhancement	✅ Built-in	✅ Built-in
Image Editing	✅ Yes	❌ No
Character Consistency	✅ Yes	❌ No
Multi-Image Blending	✅ Yes	❌ No
Negative Prompts	❌ No	✅ Yes
Seed-based Reproducibility	❌ No	✅ Yes
Person Generation Controls	❌ No	✅ Yes
Speed Options	Standard	Fast/Standard/Ultra
Best For	Editing, iteration, context-aware	Photorealism, final quality, speed

🐛 Troubleshooting

"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

🤝 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! 🚀