Fal MCP Server - AI Image, Video & Audio Generation for Claude
Fal MCP Server
AI-Powered Media Generation for Claude
Generate images, videos, and audio using state-of-the-art AI models through the Model Context Protocol
🚀 Features
Image Generation
Create stunning images with FLUX, Stable Diffusion, and more state-of-the-art models
- FLUX Schnell, Dev & Pro
- Stable Diffusion XL
- Multiple aspect ratios
- Batch generation
Video Creation
Transform images into dynamic videos with advanced AI models
- Stable Video Diffusion
- AnimateDiff
- Kling Video
- Custom durations
Audio & Music
Generate music and speech with cutting-edge audio models
- MusicGen Medium & Large
- Bark text-to-speech
- Whisper transcription
- Custom durations
Fast & Reliable
Optimized for performance with async operations and smart queueing
- Native async API
- Queue management
- Progress tracking
- Error handling
Easy Integration
Simple setup with multiple deployment options
- pip install
- Docker support
- HTTP/SSE transport
- STDIO mode
Production Ready
Built with reliability and security in mind
- Type-safe Python
- Comprehensive tests
- CI/CD pipeline
- Non-root Docker
📋 Quick Start
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# Install via pip
pip install fal-mcp-server
# Set your API key
export FAL_KEY="your-api-key"
# Run the server
fal-mcp
Or use our official Docker image from GitHub Container Registry:
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# Pull from GitHub Packages
docker pull ghcr.io/raveenb/fal-mcp-server:latest
# Run with your API key
docker run -e FAL_KEY=your-key -p 8080:8080 ghcr.io/raveenb/fal-mcp-server:latest
💻 Usage Example
Once configured in Claude Desktop, you can:
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User: Generate an image of a cyberpunk city at sunset
Claude: I'll generate a cyberpunk city at sunset for you.
[Calls generate_image tool]
🎨 Generated image: https://fal.ai/generated/image.jpg
🎯 Use Cases
- Creative Content: Generate artwork, illustrations, and designs
- Video Production: Create animated content from static images
- Music Creation: Compose background music and sound effects
- Prototyping: Quickly visualize ideas and concepts
- Education: Demonstrate AI capabilities and teach about generative models
- Entertainment: Create memes, animations, and interactive content
📊 Supported Models
| Category | Models | Capabilities |
|---|---|---|
| Image | FLUX (Schnell, Dev, Pro), SDXL, SD3 | Text-to-image, multiple styles, batch generation |
| Video | SVD, AnimateDiff, Kling | Image-to-video, 2-10 second clips |
| Audio | MusicGen, Bark, Whisper | Music generation, TTS, transcription |
🔗 Integration with Claude
Fal MCP Server seamlessly integrates with Claude Desktop through the Model Context Protocol:
- Native Integration: Works directly within Claude’s interface
- Tool Calling: Claude can invoke generation tools naturally
- Async Operations: Non-blocking for better performance
- Progress Tracking: Real-time updates for long operations
🚢 Deployment Options
Local Installation
pip install fal-mcp-server
Perfect for development and testing
Docker Container
docker pull ghcr.io/raveenb/fal-mcp-server
Official image on GitHub Packages
HTTP/SSE Mode
fal-mcp-http
Web-based access and integration
📈 Performance
- Fast Image Generation: < 3 seconds with FLUX Schnell
- Async Operations: Non-blocking API calls
- Queue Management: Efficient handling of long tasks
- Optimized Transport: HTTP/SSE for web, STDIO for CLI
🤝 Contributing
We welcome contributions! Check out our GitHub repository to:
- Report issues
- Submit pull requests
- Request features
- Join discussions