mcp-seedream 1.0.9

MCP server for Doubao image generation - generates images from text prompts using Doubao's API

MCP Doubao Image Generator

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A Model Context Protocol (MCP) server that enables AI assistants to generate images from text prompts using Doubao Seedream.

Features

• Doubao Seedream Integration: Generate images from text descriptions using Doubao Seedream API
• Multiple Parameters: Support for size, style, quality, and quantity options
• Dedicated Provider: Specifically designed for Doubao Seedream service
• Cross-Platform: Works on Windows, Linux, and macOS
• Easy Integration: Simple configuration for MCP clients

Installation

Using uvx (Recommended)

uvx mcp-seedream

Using pip

pip install mcp-seedream

From Source

git clone https://github.com/aardpro/mcp-seedream.git
cd mcp-seedream
pip install -e .

Configuration

Add the following to your MCP client configuration (e.g., Claude Desktop, Cursor):

Option 1: Using uvx with environment variables (Required Configuration)

You must configure the API settings using the environment field (or env depending on your MCP client implementation) in your MCP configuration to pass environment variables to the server. ARK_API_KEY is required for authentication. These will be used as the initial values when the server starts:

Note: Some MCP clients may require env instead of environment. Please check your MCP client documentation to confirm which field name is supported.

{
  "mcpServers": {
    "McpSeedream": {
      "command": "uvx",
      "args": ["mcp-seedream"],
      "environment": {
        "ARK_API_URL": "https://ark.cn-beijing.volces.com/api/v3/images/generations",
        "ARK_DEFAULT_MODEL": "doubao-seedream-4-5-251128",
        "ARK_API_KEY": "your-api-key-here",
        "ARK_OUTPUT_DIR": "./images"
      }
    }
  }
}

Option 2: Using pip-installed command with environment (or env) field

{
  "mcpServers": {
    "McpSeedream": {
      "command": "mcp-seedream",
      "environment": {
        "ARK_API_URL": "https://ark.cn-beijing.volces.com/api/v3/images/generations",
        "ARK_DEFAULT_MODEL": "doubao-seedream-4-5-251128",
        "ARK_API_KEY": "your-api-key-here",
        "ARK_OUTPUT_DIR": "./images"
      }
    }
  }
}

Option 3: Windows with Unicode Support

For Windows systems, to ensure proper functionality, use the environment field (or env depending on your MCP client implementation) in your MCP configuration:

{
  "mcpServers": {
    "McpSeedream": {
      "command": "cmd",
      "args": [
        "/c",
        "chcp 65001 >nul && uvx mcp-seedream"
      ],
      "environment": {
        "ARK_API_URL": "https://ark.cn-beijing.volces.com/api/v3/images/generations",
        "ARK_DEFAULT_MODEL": "doubao-seedream-4-5-251128",
        "ARK_API_KEY": "your-api-key-here",
        "ARK_OUTPUT_DIR": "./images"
      }
    }
  }
}

Option 4: Linux/macOS with Python module

Use the environment field (or env depending on your MCP client implementation) in your MCP configuration:

{
  "mcpServers": {
    "McpSeedream": {
      "command": "python",
      "args": ["-m", "main"],
      "environment": {
        "ARK_API_URL": "https://ark.cn-beijing.volces.com/api/v3/images/generations",
        "ARK_DEFAULT_MODEL": "doubao-seedream-4-5-251128",
        "ARK_API_KEY": "your-api-key-here",
        "ARK_OUTPUT_DIR": "./images"
      }
    }
  }
}

Available Tools

generate_image

Generate an image from text prompt, single image, or multiple images using configured API. Supports text-to-image, image-to-image, and multiple image fusion.

Parameters:

• prompt (string, required): Text description of the image to generate
• model (string, optional): Model to use for generation (overrides default)
• n (integer, optional): Number of images to generate (default: 1, max: 10)
• size (string, optional): Size of the generated image (default: '2K'). For Doubao API, use '2K', '4K' or specific dimensions like '1024x1024'.
• style (string, optional): Style of the generated image (default: 'vivid')
• quality (string, optional): Quality of the generated image (default: 'standard')
• image (string or array of strings, optional): Single image URL/Base64 or array of image URLs/Base64 to use as reference for image generation
• sequential_image_generation (string, optional): Enable ('auto') or disable ('disabled') sequential image generation for creating related images (default: 'disabled')
• sequential_image_generation_options (object, optional): Options for sequential image generation, including max_images
• output_dir (string, required): Directory to save generated images
• target_filename (string, optional): Optional target filename for the generated image. If not provided, a filename will be generated using timestamp and random numbers

Examples:

Text-to-image:

{
  "name": "generate_image",
  "arguments": {
    "prompt": "A cute柴犬 playing in the park",
    "size": "2K",
    "style": "vivid",
    "n": 1,
    "output_dir": "./images"
  }
}

Image-to-image (using Base64 image):

{
  "name": "generate_image",
  "arguments": {
    "prompt": "Change the background to a beach scene",
    "image": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD...",
    "size": "2K",
    "output_dir": "./images"
  }
}

Multiple image fusion:

{
  "name": "generate_image",
  "arguments": {
    "prompt": "Combine these elements into a single scene",
    "image": ["data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD...", "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA..."],
    "size": "2K",
    "output_dir": "./images"
  }
}

Sequential image generation:

{
  "name": "generate_image",
  "arguments": {
    "prompt": "Generate 4 images showing the same character in different seasons",
    "size": "2K",
    "sequential_image_generation": "auto",
    "sequential_image_generation_options": {
      "max_images": 4
    },
    "output_dir": "./images"
  }
}

convert_image_to_base64

Convert a local image file to Base64 encoded string for use with image generation APIs.

Parameters:

• image_path (string, required): Path to the local image file to convert to Base64.

Example:

{
  "name": "convert_image_to_base64",
  "arguments": {
    "image_path": "/path/to/local/image.jpg"
  }
}

Usage Examples

Once configured, you can ask your AI assistant to:

• "Generate an image of a futuristic cityscape at night"
• "Create an illustration of a fantasy castle surrounded by floating mountains"
• "Make a cartoon-style drawing of a robot reading a book"

Development

Setup Development Environment

git clone https://github.com/aardpro/mcp-seedream.git
cd mcp-seedream
pip install -e ".[dev]"

Run Tests

pytest

Build Package

build && upload

rm -rf dist && pip install build && python -m build && pip install twine && twine upload dist/*

pip install build
python -m build

Publish to PyPI

pip install twine
twine upload dist/*

Release Steps After Modifications

When making changes to the project, follow these steps to publish an updated version:

1. Increment the version number in pyproject.toml
2. Install build dependencies:

   pip install build twine
   

3. Build the package:

   python -m build
   

4. Test the built package locally (optional but recommended):

   pip install dist/mcp_seedream-*.whl
   

5. Upload to PyPI:

   twine upload dist/*
   

Project Structure

doubao-image-generator/
├── src/
│   └── main/
│       ├── __init__.py
│       ├── __main__.py
│       └── server.py
├── pyproject.toml
├── README.md
└── LICENSE

Troubleshooting

Configuration Issues

Make sure you have configured the API settings using environment variables in your MCP configuration. The ARK_API_KEY is required for authentication:

For MCP environment configuration, see the examples in the Configuration section above.

Image Generation Failures

If image generation fails, check that:

1. Your API key is valid and has sufficient credits
2. The prompt is not too long or contains no prohibited content
3. The requested image size is supported by your chosen API provider

License

MIT License - see LICENSE for details.

Contributing

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