What API key is required?
You need a fal.ai API key set as the environment variable `FALAI_API_KEY`.
@codecraftm
Basic information
A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"image-generator": {
"command": "npx",
"args": [
"-y",
"aiimagemultistyle"
],
"env": {
"FALAI_API_KEY": "your_fal_ai_key_here"
}
}
}
}Generate images using fal.ai with various styles and options.
Enhance image resolution by 4x using fal.ai upscaling.
Replace objects or elements in an image using text descriptions.
Aiimagemultistyle is an MCP (Model Context Protocol) server for image generation and manipulation using fal.ai’s Stable Diffusion model. It is designed for users who want to generate images from text prompts in a wide range of anime and artistic styles, resize and upscale images, and perform mask-based image editing.
Install the package via npm install, set the FALAI_API_KEY environment variable, and add Aiimagemultistyle to your MCP client’s mcpServers configuration. The server can run in STDIO mode (default) or REST mode (with --mode=rest --port=9593 --endpoint=/rest). Invoke the generate_image, upscale_image, or search-and-replace tools through the MCP protocol.
You need a fal.ai API key set as the environment variable `FALAI_API_KEY`.
The server offers over 20 styles, including Ghibli, Pixar, Pokemon, Genshin Impact, Cyberpunk, One Piece, Attack on Titan, Shinkai Makoto, Sailor Moon, Evangelion, Disney Princess, Kyoto Animation, Dreamworks, Marvel, DC Comics, Kawaii Pastel, Simpsons, Dragon Ball, Demon Slayer, Warner Bros Animation, Dark Fantasy, and many more Japanese anime styles.
You can request up to 4 images per `generate_image` call using the `num_images` parameter (default is 1).
Six sizes are available: Square (512×512), Square HD (1024×1024), Portrait 4:3 (768×1024), Portrait 16:9 (576×1024), Landscape 4:3 (1024×768), and Landscape 16:9 (1024×576).
Yes, it has built-in NSFW content detection that triggers error handling if such content is detected.
It supports STDIO mode (default) and REST mode (configured via command‑line arguments).

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