fal-ai-mcp-server
Fal AI MCP Server is designed to facilitate the generation of images and videos using fal.ai APIs. It's a minimal, extensible server that supports different fal.ai models and API endpoints.
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:
-
Checkout the main branch and get the current version:
git checkout main git pull origin main git describe --tags
-
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 file for details.