Fal.ai MCP Server

Fal.ai MCP Server

Enables seamless integration with Fal.ai's 600+ image generation models including Flux and Stable Diffusion. Supports real-time streaming, workflow execution, and unified access to AI image generation through natural language.

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Fal.ai MCP Server

An MCP (Model Context Protocol) server that provides seamless integration with Fal.ai's image generation models and workflows.

Features

  • 🎨 Image Generation - Access 600+ Fal.ai models including Flux, Stable Diffusion, and more
  • 🔄 Workflow Support - Run pre-built pipelines like sdxl-sticker
  • 🚀 Streaming - Real-time progress updates for long-running operations
  • 📦 Simple API - Unified interface for all models and workflows
  • Queue Management - Built-in status tracking for async operations

Installation

Quick Install (npm)

npm install -g fal-mcp-server

From Source

git clone https://github.com/yourusername/fal-mcp-server.git
cd fal-mcp-server
npm install
npm run build
npm link

Setup

1. Get your Fal.ai API Key

Sign up at fal.ai and get your API key from the dashboard.

2. Add to Claude Code

claude mcp add fal --env "FAL_KEY=your-api-key-here" -- npx -y fal-mcp-server

3. Verify Connection

claude mcp list

You should see:

fal: npx -y fal-mcp-server - ✓ Connected

Available Tools

generate_image

Generate images using any Fal.ai model.

Parameters:

  • prompt (required): Text description of the image
  • model: Model ID (default: "fal-ai/flux/schnell")
  • image_size: "square", "landscape_4_3", or "portrait_3_4"
  • num_images: 1-4 images
  • seed: For reproducible generation

Example:

{
  "prompt": "a cyberpunk cat in neon city",
  "model": "fal-ai/flux/dev",
  "image_size": "landscape_4_3",
  "num_images": 2
}

run_model

Run any Fal.ai model with custom parameters.

Parameters:

  • model_id (required): The model endpoint ID
  • input (required): Model-specific input parameters
  • stream: Enable streaming for real-time updates

Example:

{
  "model_id": "fal-ai/stable-diffusion-v3-medium",
  "input": {
    "prompt": "professional portrait photo",
    "negative_prompt": "low quality, blurry"
  }
}

run_workflow

Execute Fal.ai workflows (multi-step pipelines).

Parameters:

  • workflow_id (required): The workflow ID
  • input (required): Workflow input parameters
  • stream: Stream workflow events

Example:

{
  "workflow_id": "workflows/fal-ai/sdxl-sticker",
  "input": {
    "prompt": "cute puppy mascot"
  }
}

list_popular_models

Get a list of popular Fal.ai models.

check_status

Check the status of an async request.

Parameters:

  • request_id (required): The request ID to check

Popular Models

  • fal-ai/flux/schnell - Fastest Flux model (4 steps)
  • fal-ai/flux/dev - High quality Flux model
  • fal-ai/flux-pro - Professional Flux model
  • fal-ai/fast-sdxl - Fast Stable Diffusion XL
  • fal-ai/stable-diffusion-v3-medium - Latest SD3
  • fal-ai/recraft-v3 - Artistic style generation

Workflows

  • workflows/fal-ai/sdxl-sticker - Generate → Remove BG → Sticker

Usage in Claude Code

Once installed, you can use natural language to interact with Fal.ai:

  • "Generate a cyberpunk cityscape using Flux"
  • "Create a sticker of a cute robot"
  • "Run the sdxl-sticker workflow with a puppy prompt"
  • "List available image models"

Environment Variables

  • FAL_KEY (required): Your Fal.ai API key

Development

# Install dependencies
npm install

# Build TypeScript
npm run build

# Watch mode for development
npm run watch

# Run locally
FAL_KEY=your-key node dist/index.js

License

MIT

Contributing

Contributions welcome! Please submit PRs to improve the server.

Support

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