Gemini Image & Video Generation MCP

Gemini Image & Video Generation MCP

A production-ready MCP server that enables Claude and other LLMs to generate images and videos using Google's Gemini AI models (Gemini 2.0 Flash and Veo 2.0).

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Gemini Image & Video Generation MCP

A production-ready Model Context Protocol (MCP) server that enables Claude and other LLMs to generate images and videos using Google's Gemini AI models (Gemini 2.0 Flash and Veo 2.0).

๐ŸŒŸ Features

Core Capabilities

  • โœจ Image Generation - Create images using Gemini 2.0 Flash (gemini-2.0-flash-preview-image-generation)
  • ๐ŸŽฌ Video Generation - Generate videos using Veo 2.0 (veo-2.0-generate-001)
  • ๐ŸŽจ Image-to-Video - Animate images into videos with Veo 2.0
  • ๐Ÿ’พ Local Storage - Automatically save generated content
  • โš™๏ธ Parameter Control - Fine-tune temperature, topK, and topP

Production Features

  • ๐Ÿ”’ Optional Authentication - Token-based API security
  • โšก Response Caching - 30-minute TTL cache for repeated prompts
  • ๐Ÿ“Š Rate Limiting - Prevent API abuse (100/15min general, 20/15min generation)
  • โœ… Input Validation - Comprehensive request validation
  • ๐Ÿ“„ Pagination - Efficient gallery browsing with sorting
  • ๐Ÿ” Configurable CORS - Environment-based origin control
  • ๐Ÿ“š OpenAPI Documentation - Interactive Swagger UI at /api-docs
  • ๐Ÿงช Test Suite - 17 automated tests with Jest
  • ๐Ÿณ Docker Support - Easy containerized deployment

๐Ÿ“‹ Prerequisites

  • Node.js 18 or higher
  • Google API Key with access to:
    • Gemini 2.0 Flash (image generation)
    • Veo 2.0 (video generation)
  • Docker (optional, for containerized deployment)

๐Ÿš€ Quick Start

Installation

# Clone the repository
git clone https://github.com/your-org/gemini-image-gen-mcp.git
cd gemini-image-gen-mcp

# Install dependencies
npm install

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

Running the Server

Option 1: Node.js (Development)

# MCP server only (for Claude integration)
npm start

# Web server with REST API + UI
npm run web

# Or use the start script
./start-server.sh --both      # Both servers
./start-server.sh --mcp-only  # MCP only
./start-server.sh --web-only  # Web only

Option 2: Docker (Production)

docker-compose up -d

The web interface will be available at http://localhost:3070

๐ŸŽฏ API Endpoints

Generation Endpoints

  • POST /api/generate-image - Generate an image from a text prompt
  • POST /api/generate-video - Generate a video from a text prompt
  • POST /api/generate-video-from-image - Generate a video from an initial image

Gallery Endpoints

  • GET /api/images?page=1&limit=20 - List generated images (paginated)
  • GET /api/videos?page=1&limit=20 - List generated videos (paginated)

System Endpoints

  • GET /health - Health check
  • GET /api-docs - Interactive Swagger UI documentation
  • GET /api-docs.json - OpenAPI JSON specification
  • GET /api/cache/stats - View cache statistics
  • POST /api/cache/clear - Clear response cache (requires auth)

๐Ÿ“– API Documentation

Interactive API documentation is available at:

  • Swagger UI: http://localhost:3070/api-docs
  • OpenAPI JSON: http://localhost:3070/api-docs.json

The Swagger UI provides:

  • Complete endpoint documentation
  • Request/response schemas
  • Try-it-now functionality
  • Authentication testing
  • Parameter descriptions and examples

๐Ÿ” Authentication

Authentication is optional and can be enabled by setting the API_AUTH_TOKEN environment variable:

# In .env file
API_AUTH_TOKEN=your-secure-token-here

Using Authentication

Bearer Token (Recommended):

curl -H "Authorization: Bearer your-secure-token-here" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "A sunset over mountains"}' \
  http://localhost:3070/api/generate-image

Query Parameter (Alternative):

curl -X POST \
  "http://localhost:3070/api/generate-image?token=your-secure-token-here" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "A sunset over mountains"}'

โš™๏ธ Configuration Options

All configuration is done via environment variables in .env:

Variable Description Default
GEMINI_API_KEY Required - Google Gemini API key -
API_AUTH_TOKEN Optional - API authentication token -
MCP_AUTH_TOKEN Optional - MCP server authentication -
PORT Web server port 3070
OUTPUT_DIR Base directory for generated files ./generated-images
LOG_LEVEL Logging level (debug, info, warn, error) info
CORS_ORIGINS Comma-separated allowed origins *
RATE_LIMIT_MAX Max requests per 15min per IP 100
GENERATION_RATE_LIMIT Max generation requests per 15min 20
ENABLE_CACHE Enable response caching true

๐Ÿงช Testing

# Run all tests
npm test

# Run tests in watch mode
npm run test:watch

# Run tests with coverage report
npm run test:coverage

Current Test Coverage:

  • 2 test suites
  • 17 tests passing
  • Coverage: Authentication, Tool Schemas, Input Validation

๐Ÿณ Docker Deployment

Using Docker Compose (Recommended)

# Start services
docker-compose up -d

# View logs
docker-compose logs -f

# Stop services
docker-compose down

Manual Docker Build

# Build image
docker build -t gemini-image-gen-mcp .

# Run container
docker run -d \
  -p 3070:3070 \
  -e GEMINI_API_KEY=your_key_here \
  -v $(pwd)/generated-images:/app/generated-images \
  -v $(pwd)/generated-videos:/app/generated-videos \
  gemini-image-gen-mcp

๐Ÿ”Œ Usage with Claude

Claude Desktop Configuration

Add to your Claude Desktop config file:

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

{
  "mcpServers": {
    "gemini-image-generation": {
      "command": "node",
      "args": ["/full/path/to/gemini-image-gen-mcp/src/mcp-server.js"],
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key-here"
      }
    }
  }
}

Claude API Usage

# Example prompt to Claude
"Please generate an image of a serene mountain landscape at sunset using the Gemini image generation tool"

Claude will automatically invoke the MCP server's generate_image tool.

๐ŸŽจ Web Interface

The web interface provides three main sections:

1. Generator Tab

  • Enter text prompts for image/video generation
  • Adjust generation parameters (temperature, topP, topK)
  • Use sample prompts for quick testing
  • View generation results with enhanced prompts

2. Gallery Tab

  • Browse all generated images and videos
  • Pagination support (20 items per page)
  • Sorted by newest first
  • Click to view full size

3. About Tab

  • Project information
  • Feature list
  • Configuration details
  • API documentation links

๐Ÿ“Š Performance & Optimization

Response Caching

  • Automatically caches successful generation results
  • 30-minute TTL (configurable)
  • Reduces API costs for repeated prompts
  • Cache key includes: prompt + model + parameters
  • View cache stats at /api/cache/stats

Exponential Backoff

  • Smart video polling (2s โ†’ 30s max)
  • Reduces API calls by ~60%
  • Prevents API rate limiting

Async I/O

  • Non-blocking file operations
  • Improved server responsiveness
  • Better handling of concurrent requests

Pagination

  • Constant memory usage
  • Handles galleries with thousands of items
  • Sorted by modification time

๐Ÿ›ก๏ธ Security Features

  • โœ… Input Validation - All parameters validated with express-validator
  • โœ… Rate Limiting - Two-tier system (general + generation specific)
  • โœ… Request Size Limits - 10MB max to prevent DoS
  • โœ… CORS Configuration - Environment-based origin control
  • โœ… Optional Authentication - Token-based API security
  • โœ… No Hardcoded Secrets - All credentials via environment variables

๐Ÿ”ง Troubleshooting

Common Issues

"GEMINI_API_KEY is not set" error:

# Make sure .env file exists and contains:
GEMINI_API_KEY=your_actual_key_here

Port already in use:

# Change port in .env file:
PORT=3080

Cache not working:

# Check cache is enabled in .env:
ENABLE_CACHE=true
# View cache stats:
curl http://localhost:3070/api/cache/stats

Rate limit exceeded:

# Increase limits in .env:
RATE_LIMIT_MAX=200
GENERATION_RATE_LIMIT=50

๐Ÿ“ Example API Requests

Generate an Image

curl -X POST http://localhost:3070/api/generate-image \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A futuristic cityscape at night with neon lights",
    "temperature": 0.8,
    "topP": 0.95,
    "topK": 40
  }'

Generate a Video

curl -X POST http://localhost:3070/api/generate-video \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A bird flying through a forest",
    "temperature": 1.0
  }'

List Images with Pagination

curl "http://localhost:3070/api/images?page=1&limit=10"

๐Ÿค Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Development Guidelines

  • Run tests before committing: npm test
  • Follow existing code style
  • Update documentation for new features
  • Add tests for new functionality

๐Ÿ“„ License

ISC

๐Ÿ™ Acknowledgments

๐Ÿ“ž Support

For issues and questions:

  • Open an issue on GitHub
  • Check the API Documentation
  • Review the troubleshooting section above

Made with โค๏ธ for the AI community

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