MCP server for Fal.ai - Generate images, videos, music and audio with AI models
Project description
🎨 Fal.ai MCP Server
A Model Context Protocol (MCP) server that enables Claude Desktop (and other MCP clients) to generate images, videos, music, and audio using Fal.ai models.
✨ Features
🚀 Performance
-
Native Async API - Uses fal_client.run_async() for optimal performance
-
Queue Support - Long-running tasks (video/music) use queue API with progress updates
-
Non-blocking - All operations are truly asynchronous
-
🖼️ Image Generation - Create images using Flux, SDXL, and other models
-
🎬 Video Generation - Generate videos from images or text prompts
-
🎵 Music Generation - Create music from text descriptions
-
🗣️ Text-to-Speech - Convert text to natural speech
-
📝 Audio Transcription - Transcribe audio using Whisper
-
⬆️ Image Upscaling - Enhance image resolution
-
🔄 Image-to-Image - Transform existing images with prompts
🚀 Quick Start
Prerequisites
- Python 3.10 or higher
- Fal.ai API key (free tier available)
- Claude Desktop (or any MCP-compatible client)
Installation
Option 1: Using uv (Recommended)
git clone https://github.com/raveenb/fal-mcp-server.git
cd fal-mcp-server
uv pip install -e .
Option 2: Using pip
git clone https://github.com/raveenb/fal-mcp-server.git
cd fal-mcp-server
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install -e .
Configuration
-
Get your Fal.ai API key from fal.ai
-
Configure Claude Desktop by adding to:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
{
"mcpServers": {
"fal-ai": {
"command": "uv",
"args": [
"run",
"--with",
"mcp",
"--with",
"fal-client",
"python",
"/path/to/fal-mcp-server/src/fal_mcp_server/server.py"
],
"env": {
"FAL_KEY": "your-fal-api-key"
}
}
}
}
- Restart Claude Desktop
💬 Usage
Once configured, ask Claude to:
- "Generate an image of a sunset"
- "Create a video from this image"
- "Generate 30 seconds of ambient music"
- "Convert this text to speech"
- "Transcribe this audio file"
📦 Supported Models
Image Models
flux_schnell- Fast high-quality generationflux_dev- Development version with more controlsdxl- Stable Diffusion XL
Video Models
svd- Stable Video Diffusionanimatediff- Text-to-video animation
Audio Models
musicgen- Music generationbark- Text-to-speechwhisper- Audio transcription
🤝 Contributing
Contributions are welcome! Please see CONTRIBUTING.md for guidelines.
📝 License
MIT License - see LICENSE file for details.
🙏 Acknowledgments
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fal_mcp_server-0.1.0.tar.gz.
File metadata
- Download URL: fal_mcp_server-0.1.0.tar.gz
- Upload date:
- Size: 18.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
99d58965203b62e339de3228f57ebefe362041a14e597d9439b5ef4e9438deed
|
|
| MD5 |
3850464f586f07f67072d4d43460f8dc
|
|
| BLAKE2b-256 |
e0046fc459f1a05621dd225735a6b85d966fd66d20107bdad0c16fe447a16a3c
|
File details
Details for the file fal_mcp_server-0.1.0-py3-none-any.whl.
File metadata
- Download URL: fal_mcp_server-0.1.0-py3-none-any.whl
- Upload date:
- Size: 8.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
25bdc14afd40617732b4e0a79ac0fb297fb1d18c914465553bf4b26a4b67fe87
|
|
| MD5 |
b2ba90a5d687232da1963d2eda6b08fe
|
|
| BLAKE2b-256 |
04d409735fdacc12f9cf52941c0b7e223f4c80996bc690e799486bd343602874
|