fal-mcp-server
by luminarylane·★ 44·Score 47
MCP server for Fal.ai that enables Claude Desktop to generate images, videos, music, and audio using 600+ models.
Overview
The fal-mcp-server is a comprehensive implementation of the Model Context Protocol that bridges Claude Desktop with Fal.ai's media generation capabilities. It offers 18 different tools across image generation, video creation, audio production, and file management, all with asynchronous operations and queue support for long-running tasks. The server supports multiple transport modes including stdio and HTTP/SSE, making it versatile for different deployment scenarios. It features dynamic model discovery allowing access to 600+ models through auto-discovery with smart caching.
Try asking AI
After installing, here are 6 things you can ask your AI assistant:
When to choose this
Choose this MCP server when you need access to a wide variety of media generation models (600+) through Claude Desktop, especially for content creation that requires image, video, or audio generation capabilities.
When NOT to choose this
Avoid this server if you need offline access to models (Fal.ai requires internet), have concerns about vendor lock-in to Fal.ai, or need to process large volumes of media generation requests (free tier has usage limits).
Tools this server exposes
12 tools extracted from the READMEgenerate_imageCreate images from text prompts using Flux, SDXL, and other models
generate_image_structuredGenerate images with fine-grained control over composition, lighting, and subjects
generate_image_from_imageTransform existing images with style transfer or other image-to-image techniques
remove_backgroundRemove backgrounds from images to create transparent PNG files
upscale_imageIncrease image resolution 2x or 4x while preserving quality
edit_imageEdit images using natural language instructions
generate_videoCreate videos from text prompts or convert images to videos
generate_musicCreate instrumental music or songs with vocals
list_modelsDiscover available models with smart filtering
recommend_modelGet AI-powered model recommendations for your task
get_pricingCheck costs before generating content
upload_fileUpload local files for use with generation tools
Comparable tools
Installation
Installation
Option 1: Using uvx (Recommended)
# Run the MCP server directly
uvx --from fal-mcp-server fal-mcpOption 2: Using Docker
docker run -d \
--name fal-mcp \
-e FAL_KEY=your-api-key \
-p 8080:8080 \
ghcr.io/raveenb/fal-mcp-server:latestOption 3: From PyPI
pip install fal-mcp-serverClaude Desktop Configuration
{
"mcpServers": {
"fal-ai": {
"command": "uvx",
"args": ["--from", "fal-mcp-server", "fal-mcp"],
"env": {
"FAL_KEY": "your-fal-api-key"
}
}
}
}FAQ
- What models are available through this server?
- The server provides access to 600+ models from the Fal.ai platform including image generation models like Flux and SDXL, video models like Kling and Stable Video Diffusion, and audio models like MusicGen and Bark.
- How do I authenticate with Fal.ai?
- You need to obtain an API key from Fal.ai and set it as the FAL_KEY environment variable in your Claude Desktop configuration.
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Last updated · Auto-generated from public README + GitHub signals.