Provides access to ByteDance's Seedream models for AI image generation and editing, including text-to-image creation, style transfer, background modification, and virtual try-on capabilities.
MCP Seedream
A Model Context Protocol (MCP) server for AI image generation and editing using ByteDance's Seedream models through the AceDataCloud API.
Generate and edit AI images directly from Claude, VS Code, or any MCP-compatible client.
Features
Text-to-Image Generation — Create high-quality images from text prompts (Chinese & English)
Image Editing — Modify existing images with AI (style transfer, background change, virtual try-on)
Multiple Models — Seedream v4.5 (flagship), v4.0 (balanced), v3.0 T2I, SeedEdit v3.0 I2I
Multi-Resolution — 1K, 2K, 4K, adaptive, and custom dimensions
Seed Control — Reproducible results with seed parameter (v3 models)
Sequential Generation — Generate related images in sequence (v4.5/v4.0)
Streaming — Progressive image delivery (v4.5/v4.0)
Task Tracking — Monitor generation progress and retrieve results
Quick Start
1. Get API Token
Get your API token from AceDataCloud Platform:
Sign up or log in
Navigate to Seedream Images API
Click "Acquire" to get your token
2. Install
# Install from PyPI
pip install mcp-seedream-pro
# Or clone and install locally
git clone https://github.com/AceDataCloud/MCPSeedream.git
cd MCPSeedream
pip install -e .3. Configure
# Copy example environment file
cp .env.example .env
# Edit with your API token
echo "ACEDATACLOUD_API_TOKEN=your_token_here" > .env4. Run
# Run the server
mcp-seedream-pro
# Or with Python directly
python main.pyClaude Desktop Integration
Add to your Claude Desktop configuration:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"seedream": {
"command": "mcp-seedream-pro",
"env": {
"ACEDATACLOUD_API_TOKEN": "your_api_token_here"
}
}
}
}Or if using uv:
{
"mcpServers": {
"seedream": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/MCPSeedream",
"mcp-seedream-pro"
],
"env": {
"ACEDATACLOUD_API_TOKEN": "your_api_token_here"
}
}
}
}Remote HTTP Mode (Hosted)
AceDataCloud hosts a managed MCP server that you can connect to directly — no local installation required.
Endpoint: https://seedream.mcp.acedata.cloud/mcp
All requests require a Bearer token in the Authorization header. Get your token from AceDataCloud Platform.
Claude Desktop (Remote)
{
"mcpServers": {
"seedream": {
"type": "streamable-http",
"url": "https://seedream.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer your_api_token_here"
}
}
}
}Cursor / VS Code
In your MCP client settings, add:
Type:
streamable-httpURL:
https://seedream.mcp.acedata.cloud/mcpHeaders:
Authorization: Bearer your_api_token_here
cURL Test
# Health check (no auth required)
curl https://seedream.mcp.acedata.cloud/health
# MCP initialize (requires Bearer token)
curl -X POST https://seedream.mcp.acedata.cloud/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-H "Authorization: Bearer your_api_token_here" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'Self-Hosting with Docker
docker pull ghcr.io/acedatacloud/mcp-seedream-pro:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-seedream-pro:latestClients connect with their own Bearer token — the server extracts the token from each request's Authorization header and uses it for upstream API calls.
Available Tools
Image Generation & Editing
Tool | Description |
| Generate an image from a text prompt |
| Edit or modify existing images with AI |
Task Management
Tool | Description |
| Query a single task status and result |
| Query multiple tasks at once |
Information
Tool | Description |
| List available models with capabilities |
| List available image size options |
Available Models
Model | Version | Type | Best For | Price |
| v4.5 | Text-to-Image | Best quality, flagship | ~$0.037/image |
| v4.0 | Text-to-Image | Best value, most tasks | ~$0.030/image |
| v3.0 | Text-to-Image | Reproducible results | ~$0.038/image |
| v3.0 | Image-to-Image | Image editing | ~$0.046/image |
Usage Examples
Generate Image from Prompt
User: Create a photorealistic image of a cat in a garden
Claude: I'll generate that image for you.
[Calls seedream_generate_image with detailed prompt]
→ Returns task_id and image URLImage Editing
User: Change the background of this photo to a beach
[Provides image URL]
Claude: I'll edit that image for you.
[Calls seedream_edit_image with image URL and edit description]Chinese Prompt Support
User: 生成一幅中国山水画,有远山、流水和古松
Claude: 好的,我来为您生成这幅山水画。
[Calls seedream_generate_image with Chinese prompt]Reproducible Generation
User: Generate a landscape and make sure I can recreate the exact same image later
Claude: I'll use the v3 model with a fixed seed.
[Calls seedream_generate_image with model=doubao-seedream-3-0-t2i-250415, seed=42]Configuration
Environment Variables
Variable | Description | Default |
| API token from AceDataCloud | Required |
| API base URL |
|
| Request timeout in seconds |
|
| Logging level |
|
Command Line Options
mcp-seedream-pro --help
Options:
--version Show version
--transport Transport mode: stdio (default) or http
--port Port for HTTP transport (default: 8000)Development
Setup Development Environment
# Clone repository
git clone https://github.com/AceDataCloud/MCPSeedream.git
cd MCPSeedream
# Create virtual environment
python -m venv .venv
source .venv/bin/activate # or `.venv\Scripts\activate` on Windows
# Install with dev dependencies
pip install -e ".[dev,test]"Run Tests
# Run unit tests
pytest
# Run with coverage
pytest --cov=core --cov=tools
# Run integration tests (requires API token)
pytest -m integrationCode Quality
# Format code
ruff format .
# Lint code
ruff check .
# Type check
mypy core tools main.pyBuild & Publish
# Install build dependencies
pip install -e ".[release]"
# Build package
python -m build
# Upload to PyPI
twine upload dist/*Project Structure
MCPSeedream/
├── core/ # Core modules
│ ├── __init__.py
│ ├── client.py # HTTP client for Seedream API
│ ├── config.py # Configuration management
│ ├── exceptions.py # Custom exceptions
│ ├── server.py # MCP server initialization
│ ├── types.py # Type definitions
│ └── utils.py # Utility functions
├── tools/ # MCP tool definitions
│ ├── __init__.py
│ ├── image_tools.py # Image generation/editing tools
│ ├── task_tools.py # Task query tools
│ └── info_tools.py # Model & size info tools
├── prompts/ # MCP prompt templates
│ └── __init__.py
├── tests/ # Test suite
│ ├── conftest.py
│ ├── test_config.py
│ └── test_utils.py
├── deploy/ # Deployment configs
│ ├── run.sh
│ └── production/
│ ├── deployment.yaml
│ ├── ingress.yaml
│ └── service.yaml
├── .github/ # GitHub Actions workflows
│ ├── dependabot.yml
│ └── workflows/
│ ├── ci.yaml
│ ├── claude.yml
│ ├── deploy.yaml
│ └── publish.yml
├── .env.example # Environment template
├── .gitignore
├── .ruff.toml # Ruff linter config
├── CHANGELOG.md
├── Dockerfile # Docker image for HTTP mode
├── docker-compose.yaml # Docker Compose config
├── LICENSE
├── main.py # Entry point
├── pyproject.toml # Project configuration
└── README.mdAPI Reference
This server wraps the AceDataCloud Seedream API:
Seedream Images API — Image generation and editing
Seedream Tasks API — Task queries
Use Cases
AI Art Creation — Generate stunning artwork, illustrations, and digital art
Product Photography — Create professional product scene compositions
Content Creation — Generate images for blogs, social media, marketing
Virtual Try-On — Visualize clothing on different models
Style Transfer — Transform photos into different art styles
Game Design — Concept art, character design, environment design
E-commerce — Product mockups, lifestyle shots, banner images
License
MIT License - see the LICENSE file for details.
Links
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