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mcp-fal

An MCP (Model Context Protocol) server that exposes Fal.ai generative media models as tools callable by Claude and other MCP-compatible clients.

Features

Tool

Description

generate_image

Generate images from a text prompt using FLUX, Stable Diffusion, and other models

generate_video

Generate videos via text-to-video or image-to-video using MiniMax, HunyuanVideo, and more

run_model

Run any Fal.ai model by ID with arbitrary input — access to 1000+ models


Related MCP server: @monsoft/mcp-fal-ai

Installation

# Clone the repository
git clone https://github.com/mohsenmousavieyeline/mcp-fal.git
cd mcp-fal

# Install dependencies
npm install

# Build (compiles TypeScript → dist/)
npm run build

API Key

Get your Fal.ai API key at https://fal.ai/dashboard/keys.

The server resolves the API key in this priority order:

  1. CLI argument — --api-key <your-key>

  2. Environment variable — FAL_KEY=<your-key>


Configuration

Claude Desktop

Add the server to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

Option A — API key as CLI argument (recommended):

{
  "mcpServers": {
    "fal-ai": {
      "command": "node",
      "args": [
        "/absolute/path/to/mcp-fal/dist/index.js",
        "--api-key",
        "fal_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
      ]
    }
  }
}

Option B — API key as environment variable:

{
  "mcpServers": {
    "fal-ai": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-fal/dist/index.js"],
      "env": {
        "FAL_KEY": "fal_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}

Claude Code (CLI)

claude mcp add fal-ai -- node /absolute/path/to/mcp-fal/dist/index.js --api-key fal_xxxx

Or with an environment variable:

FAL_KEY=fal_xxxx claude mcp add fal-ai -- node /absolute/path/to/mcp-fal/dist/index.js

npx (no installation)

If published to npm:

{
  "mcpServers": {
    "fal-ai": {
      "command": "npx",
      "args": ["mcp-fal", "--api-key", "fal_xxxx"]
    }
  }
}

Tool Reference

generate_image

Generate one or more images from a text prompt.

Parameter

Type

Required

Default

Description

prompt

string

✅

—

Text description of the image

model_id

string

—

fal-ai/flux/dev

Fal.ai model ID

image_size

string

—

landscape_4_3

square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9

num_images

integer

—

1

Number of images (1–4)

negative_prompt

string

—

—

What to exclude from the image

seed

integer

—

—

Seed for reproducible results

Example prompt to Claude:

"Generate an image of a misty mountain landscape at dawn using FLUX schnell"


generate_video

Generate a video from text or an input image.

Parameter

Type

Required

Default

Description

prompt

string

✅

—

Text description of the video

model_id

string

—

Auto-selected

Fal.ai model ID

image_url

string

—

—

Input image URL (triggers image-to-video)

duration

number

—

—

Desired duration in seconds

Default models:

  • With image_url: fal-ai/minimax-video/image-to-video

  • Without image_url: fal-ai/minimax-video/text-to-video

⚠️ Video generation typically takes 1–5 minutes.

Example prompt to Claude:

"Generate a 5-second video of ocean waves crashing on a rocky shore"


run_model

Run any Fal.ai model with custom parameters.

Parameter

Type

Required

Description

model_id

string

✅

Fal.ai model ID (e.g. fal-ai/imageutils/rembg)

input

object

✅

Model-specific input parameters

Browse available models at https://fal.ai/models.

Example prompt to Claude:

"Use the run_model tool with fal-ai/imageutils/rembg to remove the background from this image: https://example.com/photo.jpg"


Development

# Run in development mode (no build step required)
FAL_KEY=your_key npm run dev

# Build for production
npm run build

# Run the built server
FAL_KEY=your_key npm start

Category

Model ID

Description

Image

fal-ai/flux/dev

FLUX.1 Dev — high quality

Image

fal-ai/flux/schnell

FLUX.1 Schnell — fast

Image

fal-ai/stable-diffusion-v3-medium

Stable Diffusion 3

Video

fal-ai/minimax-video/text-to-video

MiniMax text-to-video

Video

fal-ai/minimax-video/image-to-video

MiniMax image-to-video

Video

fal-ai/hunyuan-video

HunyuanVideo

Video

fal-ai/mochi-v1

Mochi 1

Utility

fal-ai/imageutils/rembg

Background removal


License

MIT

Available Tools

3 tools
generate_imageA

Generate one or more images from a text prompt using Fal.ai image generation models. Supports models like FLUX (fal-ai/flux/dev, fal-ai/flux/schnell), Stable Diffusion, and more. Returns the URL(s) of the generated image(s).

Inputs: prompt (required), model_id, image_size, num_images, +2 more.

generate_videoA

Generate a video from a text prompt (text-to-video) or from an input image (image-to-video) using Fal.ai video generation models. Supports models like MiniMax (Hailuo AI), HunyuanVideo, Mochi 1, and more. Returns the URL of the generated video. Note: video generation can take 1–5 minutes.

Inputs: prompt (required), model_id, image_url, duration.

run_modelA

Run any Fal.ai model by its model ID with arbitrary input parameters. This is a flexible, low-level tool that gives you access to all 1000+ models on Fal.ai without needing a dedicated tool for each one. Consult the Fal.ai model catalog at https://fal.ai/models for available models and their parameters.

Inputs: model_id (required), input (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.2/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a clearly distinct domain: image generation, video generation, and a catch-all for any other model. There is no ambiguity or overlap between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (generate_image, generate_video, run_model), making them predictable and easy to understand.

    Tool Count5/5

    Three tools is an ideal number for this server: two specialized tools for the most common tasks and one flexible tool that covers the remaining 1000+ models. The scope is well-scoped without being overwhelming.

    Completeness4/5

    The specialized tools handle the primary use cases (image and video generation), and run_model fills any gaps. However, dedicated tools for other popular model categories (e.g., audio) could improve discoverability, though run_model covers them.

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