mcp-fal

am0y
40
A Model Context Protocol (MCP) server for interacting with fal.ai models and services.

Overview

What is mcp-fal

mcp-fal is a Model Context Protocol (MCP) server designed for interacting with fal.ai models and services, enabling users to leverage AI capabilities effectively.

How to Use

To use mcp-fal, clone the repository, install the required packages, set your fal.ai API key as an environment variable, and run the server in development mode or directly via Python.

Key Features

Key features include listing available fal.ai models, searching for models by keywords, retrieving model schemas, generating content, managing queued executions, and uploading files to fal.ai CDN.

Use Cases

Use cases for mcp-fal include developing AI-driven applications, conducting model testing, generating content dynamically, and integrating AI services into existing workflows.

Content