Gemini Imagen MCP Server for Claude Code

🎨 Perfect Claude Code MCP server for AI-powered image generation with Google's Gemini Imagen API. Generate images directly in your project's imagen/ folder while coding!

✨ Why This MCP Server?

• 🔥 Claude Code Optimized: Designed specifically for Claude Code workflow
• 📁 Project Integration: Images saved directly in your project's imagen/ folder
• 🎯 Zero Setup: Just add API key and start generating images
• ⚡ Multiple Models: Support for Imagen 3, Imagen 4, and Imagen 4 Ultra
• 📦 Batch Processing: Generate multiple images efficiently
• 🎛️ Advanced Controls: Aspect ratios, negative prompts, seeds, and more

🚀 Quick Start

1. Get Your API Key

Get a free Gemini API key from Google AI Studio

2. Install & Configure

Zero Installation Required - Use with npx:

Add to your Claude Code MCP settings:

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "npx",
      "args": ["-y", "gemini-imagen-mcp-server"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

3. Start Generating Images!

Generate an image of "a futuristic robot coding in a modern office"

Images will be saved to imagen/ folder in your current project! 🎯

📁 How It Works

When you generate images, they're automatically saved with descriptive filenames:

your-project/
├── imagen/
│   ├── imagen-4-ultra_2024-01-15T10-30-45_futuristic_robot_coding_1.png
│   ├── imagen-4_2024-01-15T10-32-12_sunset_landscape_1.png
│   └── imagen-3_2024-01-15T10-35-01_abstract_art_design_1.png
├── src/
└── README.md

🎨 Available Models

| Model | Quality | Speed | Best For | |-------|---------|-------|----------| | imagen-4-ultra | 🌟🌟🌟🌟🌟 | ⚡⚡⚡ | Premium quality, detailed images | | imagen-4 | 🌟🌟🌟🌟 | ⚡⚡⚡⚡ | Great quality, faster generation | | imagen-3 | 🌟🌟🌟 | ⚡⚡⚡⚡⚡ | Good quality, fastest generation |

💡 Usage Examples

Basic Image Generation

Generate an image of "a cat wearing a space helmet"

Advanced Parameters

Generate an image with these settings:
- Prompt: "minimalist website mockup for a coffee shop"
- Model: imagen-4-ultra
- Aspect ratio: 16:9
- Negative prompt: "cluttered, busy, complex"

Batch Generation

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

Design Assets for Projects

Create a collection of images:
- "app icon design, minimalist, blue and white"
- "hero banner for landing page, technology theme"
- "user avatar placeholder, professional style"

🎛️ Advanced Features

Aspect Ratios

• 1:1 - Perfect squares (logos, avatars)
• 16:9 - Widescreen (banners, headers)
• 9:16 - Portrait (mobile screens)
• 4:3 - Standard (presentations)
• 3:4 - Portrait (posters)

Control Parameters

• Negative Prompts: Specify what to avoid
• Seeds: Get reproducible results
• Person Generation: Control person appearance
• Output Format: JPEG or PNG

Batch Processing

Generate multiple images efficiently with shared settings:

Generate a batch of logo variations with these prompts:
["minimalist coffee logo", "geometric coffee logo", "vintage coffee logo"]
using imagen-4-ultra with 1:1 aspect ratio

⚙️ Configuration Options

Command Line Arguments

# Use different default model
npx gemini-imagen-mcp-server --model imagen-4-ultra

# Enable batch processing
npx gemini-imagen-mcp-server --batch --max-batch-size 8

# Custom output directory
npx gemini-imagen-mcp-server --output-dir assets/images

Available Options

| Option | Description | Default | |--------|-------------|---------| | --model | Default model (imagen-3, imagen-4, imagen-4-ultra) | imagen-4-ultra | | --batch | Enable batch processing | disabled | | --max-batch-size | Max batch size (1-8) | 4 | | --output-dir | Output directory | imagen |

🛠️ Installation Methods

Option 1: NPX (Recommended)

No installation needed! Just configure and use:

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "npx",
      "args": ["-y", "gemini-imagen-mcp-server"],
      "env": {"GEMINI_API_KEY": "your-key"}
    }
  }
}

Option 2: Global Install

npm install -g gemini-imagen-mcp-server

Then configure:

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "gemini-imagen-claude-code",
      "env": {"GEMINI_API_KEY": "your-key"}
    }
  }
}

Option 3: Local Development

git clone https://github.com/serkanhaslak/gemini-imagen-mcp-server.git
cd gemini-imagen-mcp-server
npm install
npm run build

🧪 Development & Testing

Build & Test

# Build the project
npm run build

# Run comprehensive tests
npm run test

# Development with auto-rebuild
npm run watch

# Interactive testing with MCP Inspector
npm run dev

Project Structure

src/
├── index.ts          # Main MCP server implementation
build/                # Compiled JavaScript
test_server.js        # Comprehensive test suite
tsconfig.json         # TypeScript configuration

🔧 Available Tools

generate_image

Generate single or multiple images with full parameter control.

batch_generate

Process multiple prompts efficiently with shared settings.

list_models

Show all available Imagen models and their capabilities.

health_check

Check server status, API connectivity, and configuration.

📚 Resources

generation_history

Access recent image generation history with full parameters.

api_documentation

Comprehensive API documentation with examples.

🐛 Troubleshooting

Common Issues

"GEMINI_API_KEY not found"

• Ensure API key is set in MCP configuration
• Verify the key is valid and has billing enabled

"No images generated"

• Check if prompt violates content policies
• Try a simpler prompt first
• Verify API quota hasn't been exceeded

"Permission denied"

• Ensure Claude Code has write access to project directory
• Check that imagen/ folder can be created

Debug Mode

Run with debug logging:

DEBUG=* npx gemini-imagen-mcp-server

🎯 Perfect for Claude Code Projects

This MCP server is specifically designed for developers using Claude Code:

• Project-Centric: Images go directly in your project
• Developer-Friendly: Descriptive filenames with timestamps
• Workflow Integration: Generate assets while coding
• Version Control Ready: Images in dedicated folder
• Batch Operations: Generate multiple assets efficiently

🔒 Security & Best Practices

• ✅ API keys handled securely through environment variables
• ✅ Input validation with Zod schemas
• ✅ Comprehensive error handling
• ✅ Rate limiting and quota management
• ✅ No sensitive data logged or stored

📈 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 assets
• Documentation images

Content Creation

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

🤝 Contributing

1. Fork the repository
2. Create feature branch: git checkout -b feature/amazing-feature
3. Make changes and add tests
4. Run tests: npm test
5. Commit: git commit -m 'Add amazing feature'
6. Push: git push origin feature/amazing-feature
7. Open Pull Request

📊 API Limits & Pricing

• Free Tier: Generous monthly quota
• Rate Limits: Automatically handled
• Batch Processing: Optimized for efficiency
• Cost Control: Monitor usage with health checks

📜 License

MIT License - see LICENSE file for details.

🌟 Why Choose This MCP Server?

• 🎯 Purpose-Built: Specifically for Claude Code workflows
• ⚡ Zero Config: Works out of the box with just API key
• 📁 Smart Organization: Images organized in project folders
• 🔄 Active Development: Regular updates and improvements
• 📖 Great Documentation: Comprehensive guides and examples
• 🛠️ Developer-Friendly: Built by developers, for developers

Ready to supercharge your Claude Code projects with AI-generated images?

Install now and start creating! 🚀

# Just add to your MCP config and go!
npx -y gemini-imagen-mcp-server --help