Fal.ai
Enables Claude Desktop and other MCP clients to generate images, videos, music, and audio using Fal.ai models. Supports text-to-image generation, video creation, music composition, text-to-speech, audio transcription, and image enhancement through na
What is Fal.ai?
Fal.ai is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables claude desktop and other mcp clients to generate images, videos, music, and audio using fal.ai models. supports text-to-image generation, video creation, music composition, text-to-speech, aud...
Enables Claude Desktop and other MCP clients to generate images, videos, music, and audio using Fal.ai models. Supports text-to-image generation, video creation, music composition, text-to-speech, audio transcription, and image enhancement through na
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables Claude Desktop and other MCP clients to generate ima
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx fal-ai-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Fal.ai
The Fal.ai MCP Server connects AI assistants to Fal.ai's platform of 600+ generative AI models, enabling image generation, image editing, video creation from text or images, music composition, text-to-speech, audio transcription, background removal, image upscaling, and inpainting — all through natural-language prompts. It supports STDIO and HTTP/SSE transports, includes model discovery tools, and handles long-running async jobs with queue polling so the assistant can generate a video and automatically retrieve the result. This server is ideal for creative professionals and developers who want to access the full breadth of Fal.ai's model ecosystem from their AI client.
Prerequisites
- A Fal.ai account and API key from https://fal.ai (FAL_KEY)
- Python 3.10+ with uv/uvx installed, or Docker for containerized deployment
- An MCP client such as Claude Desktop or any MCP-compatible tool
- Fal.ai credits sufficient for the generation tasks you plan to run
Obtain your Fal.ai API key
Sign up at https://fal.ai, go to your account dashboard, and create an API key. This key is required as the FAL_KEY environment variable.
Test the server with uvx
Verify that uvx can install and run the fal-mcp-server package before configuring your MCP client.
uvx --from fal-mcp-server fal-mcp --helpAdd to your MCP client configuration
Edit claude_desktop_config.json to register fal-ai as an MCP server, providing your FAL_KEY.
{
"mcpServers": {
"fal-ai": {
"command": "uvx",
"args": ["--from", "fal-mcp-server", "fal-mcp"],
"env": {
"FAL_KEY": "your-fal-ai-api-key"
}
}
}
}Restart your MCP client
Restart Claude Desktop (or your chosen client) so it discovers and connects to the fal-ai MCP server. Confirm the server appears in the connected servers list.
Alternative: run with Docker
For a containerized setup or HTTP/SSE transport, run the server as a Docker container. Expose port 8080 for HTTP clients.
docker run -d \
-e FAL_KEY=your-fal-ai-api-key \
-p 8080:8080 \
ghcr.io/raveenb/fal-mcp-server:latestFal.ai Examples
Client configuration
Complete claude_desktop_config.json entry for the Fal.ai MCP Server using uvx.
{
"mcpServers": {
"fal-ai": {
"command": "uvx",
"args": ["--from", "fal-mcp-server", "fal-mcp"],
"env": {
"FAL_KEY": "your-fal-ai-api-key-here"
}
}
}
}Prompts to try
Sample prompts to use once the Fal.ai MCP Server is connected in your AI assistant.
- "Generate an image of a futuristic cityscape at night using flux_schnell"
- "Create a video from this image of a mountain lake with gentle wind effects"
- "List all available video generation models on Fal.ai"
- "Remove the background from my uploaded product photo"
- "Upscale this image to 4x resolution using the best available model"
- "Compose background music for a 30-second corporate video clip"
- "Transcribe the audio from this video file"Troubleshooting Fal.ai
Authentication error: FAL_KEY is invalid or not authorized
Verify the key at https://fal.ai/dashboard/keys. Ensure the FAL_KEY value in your config has no extra whitespace. If the key was recently created, wait a minute for it to propagate before retrying.
uvx --from fal-mcp-server fal-mcp fails to install
Update uv to the latest version with 'pip install -U uv'. If the package name changed, try 'pip install fal-mcp-server' and use 'fal-mcp' as the command directly after confirming it is on PATH.
Video or long-running generation jobs time out without returning results
Fal.ai uses async queues for video and heavy generation tasks. The server polls automatically, but very long jobs may exceed client timeouts. Ask the AI to retry checking the job status, or switch to the Docker HTTP/SSE transport which handles async streams more robustly.
Frequently Asked Questions about Fal.ai
What is Fal.ai?
Fal.ai is 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. supports text-to-image generation, video creation, music composition, text-to-speech, audio transcription, and image enhancement through na It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Fal.ai?
Follow the installation instructions on the Fal.ai GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Fal.ai?
Fal.ai works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Fal.ai free to use?
Yes, Fal.ai is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
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