Mcp Fal

fal.ai MCP Server

A Model Context Protocol (MCP) server for interacting with fal.ai models and services.

Features

• List all available fal.ai models
• Search for specific models by keywords
• Get model schemas
• Generate content using any fal.ai model
• Support for both direct and queued model execution
• Queue management (status checking, getting results, cancelling requests)
• File upload to fal.ai CDN

Requirements

• Python 3.10+
• fastmcp
• httpx
• aiofiles
• A fal.ai API key

Installation

1. Clone this repository:

git clone https://github.com/am0y/mcp-fal.git
cd mcp-fal

1. Install the required packages:

pip install fastmcp httpx aiofiles

1. Set your fal.ai API key as an environment variable:

export FAL_KEY="YOUR_FAL_API_KEY_HERE"

Usage

Running the Server

You can run the server in development mode with:

fastmcp dev main.py

This will launch the MCP Inspector web interface where you can test the tools interactively.

Installing in Claude Desktop

To use the server with Claude Desktop:

fastmcp install main.py -e FAL_KEY="YOUR_FAL_API_KEY_HERE"

This will make the server available to Claude in the Desktop app.

Running Directly

You can also run the server directly:

python main.py

API Reference

Tools

• models(page=None, total=None) - List available models with optional pagination
• search(keywords) - Search for models by keywords
• schema(model_id) - Get OpenAPI schema for a specific model
• generate(model, parameters, queue=False) - Generate content using a model
• result(url) - Get result from a queued request
• status(url) - Check status of a queued request
• cancel(url) - Cancel a queued request
• upload(path - Upload a file to fal.ai CDN

License

[MIT](LICENSE)

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: xerotropy
• Source: xerotropy/mcp-fal
• License: MIT

Install and usage instructions live in the source repository linked above.