fal-ai-mcp-server 0.1.2

An MCP (Model Contex Protocol) Server to use the fal.ai APIs to generate images and videos.

Fal AI MCP Server

An MCP (Model Context Protocol) server to use the fal.ai APIs to generate images and videos. This is a barebones server that anyone can extend to use different fal.ai models and API endpoints.

Usage

Install uv and add the server to an MCP config using uvx:

{
    "name": "fal-ai-mcp-server",
    "command": "uvx",
    "args": [
        "fal-ai-mcp-server"
    ],
    "env": {
        "FAL_KEY": "your-key",
        "SAVE_MEDIA_DIR": "path/to/save/images"
    }
}

or clone the repo and use uv with a directory:

{
    "name": "fal-ai-mcp-server",
    "command": "uv",
    "args": [
        "--directory",
        "path/to/root/dir/",
        "run",
        "main.py"
    ],
    "env": {
        "FAL_KEY": "your-key",
        "SAVE_MEDIA_DIR": "path/to/save/images"
    }
}

Development

Testing

Clone the repo and use mcp-client-for-testing to test the tools of the server.

uvx mcp-client-for-testing \
    --config '
    [
        {
            "name": "fal-ai-mcp-server",
            "command": "uv",
            "args": [
                "--directory", 
                "path/to/root/dir/", 
                "run", 
                "main.py"
            ],
            "env": {
                "FAL_KEY": "your-key",
                "SAVE_MEDIA_DIR": "path/to/save/images"
            }
        }
    ]
    ' \
    --tool_call '{"name": "echo_tool", "arguments": {"message": "Hello, world!"}}'

Formatting and Linting

The code is formatted and linted with ruff:

uv run ruff format
uv run ruff check --fix

Building with uv

Build the package using uv:

uv build

Releasing a New Version

To release a new version of the package to PyPI, create and push a new Git tag:

1. Checkout the main branch and get the current version:

   git checkout main
   git pull origin main
   git describe --tags
   

2. Create and push a new Git tag:

   git tag v0.2.0
   git push origin v0.2.0
   

The GitHub Actions workflow will automatically build and publish the package to PyPI when a new tag is pushed. The python package version number will be derived directly from the Git tag.

License

This project is licensed under the MIT License. See the LICENSE file for details.