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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.

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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:

you:Generate images from text prompts using various AI models like Flux, SDXL
you:Create videos from text prompts or animate existing images
you:Generate music or audio content with AI models like MusicGen or Bark
you:Edit and enhance images with tools like background removal, upscaling, and inpainting
you:What models are available through this server?
you:How do I authenticate with Fal.ai?

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 README
  • generate_image

    Create images from text prompts using Flux, SDXL, and other models

  • generate_image_structured

    Generate images with fine-grained control over composition, lighting, and subjects

  • generate_image_from_image

    Transform existing images with style transfer or other image-to-image techniques

  • remove_background

    Remove backgrounds from images to create transparent PNG files

  • upscale_image

    Increase image resolution 2x or 4x while preserving quality

  • edit_image

    Edit images using natural language instructions

  • generate_video

    Create videos from text prompts or convert images to videos

  • generate_music

    Create instrumental music or songs with vocals

  • list_models

    Discover available models with smart filtering

  • recommend_model

    Get AI-powered model recommendations for your task

  • get_pricing

    Check costs before generating content

  • upload_file

    Upload local files for use with generation tools

Comparable tools

fal-clientopenai-mcp-serverreplicate-mcp-servercloudinary-mcp

Installation

Installation

Option 1: Using uvx (Recommended)

# Run the MCP server directly
uvx --from fal-mcp-server fal-mcp

Option 2: Using Docker

docker run -d \
  --name fal-mcp \
  -e FAL_KEY=your-api-key \
  -p 8080:8080 \
  ghcr.io/raveenb/fal-mcp-server:latest

Option 3: From PyPI

pip install fal-mcp-server

Claude 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.