mcp-fooocus-api 0.1.0

MCP server for Fooocus Stable Diffusion API

MCP Fooocus API

A Model Context Protocol (MCP) server that provides text-to-image generation capabilities through the Fooocus Stable Diffusion API.

Features

• Text-to-Image Generation: Generate high-quality images from text prompts
• Intelligent Style Selection: Automatically selects 1-3 appropriate styles based on your prompt
• Custom Style Override: Manually specify styles from 300+ available options
• Multiple Performance Modes: Choose between Speed, Quality, and Extreme Speed
• Configurable Aspect Ratios: Support for various image dimensions
• Environment-based Configuration: Easy API endpoint configuration via .env file

Installation

Using uv (Recommended)

Install directly from GitHub:

uv add git+https://github.com/raihan0824/mcp-fooocus-api.git

Or install from PyPI (when published):

uv add mcp-fooocus-api

Run with uvx:

uvx --from git+https://github.com/raihan0824/mcp-fooocus-api.git mcp-fooocus-api

Using pip

pip install git+https://github.com/raihan0824/mcp-fooocus-api.git

Or from PyPI (when published):

pip install mcp-fooocus-api

Development Installation

# Clone the repository
git clone https://github.com/raihan0824/mcp-fooocus-api.git
cd mcp-fooocus-api

# Install with uv
uv sync --dev

# Or install with pip
pip install -e ".[dev]"

Configuration

1. Copy the example environment file:

cp .env.example .env

2. Edit the .env file to configure your Fooocus API endpoint:

FOOOCUS_API_URL=http://103.125.100.56:8888/v1/generation/text-to-image

Usage

Available Tools

The MCP server provides three main tools:

1. generate_image

Generate an image using the Fooocus API.

Parameters:

• prompt (required): Text description of the image to generate
• performance (optional): Performance setting - "Speed" (default), "Quality", or "Extreme Speed"
• custom_styles (optional): Comma-separated list of custom styles
• aspect_ratio (optional): Image dimensions (default: "1024*1024")

Example:

{
  "prompt": "A serene landscape with mountains and a lake at sunset",
  "performance": "Quality",
  "aspect_ratio": "1024*1024"
}

2. list_available_styles

Lists all available styles organized by category.

Returns:

• Total number of available styles
• Styles organized by categories (Fooocus, SAI, MRE, Art Styles, etc.)
• Available performance options

3. get_server_info

Get information about the server configuration and capabilities.

Returns:

• Server version and name
• Configured API endpoint
• Available features
• Performance options

Style Categories

The server includes 300+ styles organized into categories:

• Fooocus Styles: Native Fooocus styles (V2, Enhance, Sharp, etc.)
• SAI Styles: Stability AI styles (Photographic, Digital Art, Anime, etc.)
• Art Styles: Classical art movements (Renaissance, Impressionist, Cubist, etc.)
• Photography: Various photography styles (Film Noir, HDR, Macro, etc.)
• Game Styles: Video game-inspired styles (Minecraft, Pokemon, Retro, etc.)
• Futuristic: Sci-fi and cyberpunk styles
• And many more...

Intelligent Style Selection

When you don't specify custom styles, the server automatically selects appropriate styles based on your prompt:

• "renaissance portrait" → Selects "Artstyle Renaissance"
• "cyberpunk city" → Selects "Futuristic Cyberpunk Cityscape"
• "anime character" → Selects "SAI Anime"
• "realistic photo" → Selects "SAI Photographic"
• "watercolor painting" → Selects "Artstyle Watercolor"

Running the Server

As an MCP Server

Add to your MCP client configuration:

{
  "mcpServers": {
    "fooocus": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/raihan0824/mcp-fooocus-api.git", "mcp-fooocus-api"]
    }
  }
}

Or if installed from PyPI:

{
  "mcpServers": {
    "fooocus": {
      "command": "uvx",
      "args": ["mcp-fooocus-api"]
    }
  }
}

Standalone Server

You can also run the server directly:

# With uv
uvx --from git+https://github.com/raihan0824/mcp-fooocus-api.git mcp-fooocus-api --port 3000 --host localhost

# Or if installed locally
python -m mcp_fooocus_api.server --port 3000 --host localhost

API Response Format

Successful generation returns:

{
  "success": true,
  "prompt": "Your prompt here",
  "selected_styles": ["Style1", "Style2"],
  "performance": "Speed",
  "aspect_ratio": "1024*1024",
  "result": {
    // Fooocus API response data
  }
}

Error responses include:

{
  "success": false,
  "error": "Error description",
  "prompt": "Your prompt here",
  "selected_styles": ["Style1", "Style2"]
}

Requirements

• Python 3.8+
• Access to a Fooocus API endpoint
• Internet connection for API requests

Dependencies

• mcp >= 1.0.0
• httpx >= 0.27
• python-dotenv >= 1.0.0
• pydantic >= 2.7.2, < 3.0.0

Development

To set up for development:

1. Clone the repository
2. Install dependencies: pip install -e .
3. Configure your .env file
4. Run the server: python -m mcp_fooocus_api.server

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues and questions, please visit the GitHub repository.