Mcp Fal
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.
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.
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.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
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.
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.
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.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
- Clone this repository:
git clone https://github.com/am0y/mcp-fal.git
cd mcp-fal
- Install the required packages:
pip install fastmcp httpx aiofiles
- 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 paginationsearch(keywords)- Search for models by keywordsschema(model_id)- Get OpenAPI schema for a specific modelgenerate(model, parameters, queue=False)- Generate content using a modelresult(url)- Get result from a queued requeststatus(url)- Check status of a queued requestcancel(url)- Cancel a queued requestupload(path- Upload a file to fal.ai CDN
License
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
