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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

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
  1. 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.

-
security - not tested
A
license - permissive license
-
quality - not tested

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