SeedanceMCP
MCPSeedance is an MCP server for AI video generation using ByteDance Seedance models via the AceDataCloud API, usable from clients like Claude, VS Code, Cursor, and JetBrains IDEs.
Video Generation
Text-to-video (
seedance_generate_video): Create AI videos from text prompts describing scene, motion, style, and mood.Image-to-video (
seedance_generate_video_from_image): Animate images using first frame, last frame, or reference images for controlled output.
Customization Options
Models: Seedance 1.5 Pro, 1.0 Pro, 1.0 Pro Fast, 1.0 Lite T2V, and 1.0 Lite I2V.
Resolution: 480p, 720p (default), or 1080p.
Aspect ratios: 16:9, 9:16, 1:1, 4:3, 3:4, 21:9, or adaptive.
Duration: 2–12 seconds (or exact frame counts).
Audio: Synchronized audio generation (Seedance 1.5 Pro only).
Service tiers:
default(priority) orflex(50% cheaper, slower).Other parameters: Seed control, watermarking, camera fix, and webhook callbacks.
Task Management
seedance_get_task: Query the status and result of a single generation task.seedance_get_tasks_batch: Check multiple tasks simultaneously.
Discovery Tools
seedance_list_models: Browse available models with features and pricing.seedance_list_resolutions: View supported resolutions and aspect ratios with use case descriptions.seedance_list_actions: Get a reference guide of all available API actions and tools.
Enables AI video generation using ByteDance Seedance models, supporting text-to-video and image-to-video creation, synchronized audio generation, and task status tracking.
SeedanceMCP
A Model Context Protocol (MCP) server for AI video generation using ByteDance Seedance through the AceDataCloud API.
Generate AI videos directly from Claude, VS Code, or any MCP-compatible client.
Features
Text to Video - Create AI-generated videos from text prompts
Image to Video - Animate images with first frame, last frame, and reference image control
Multiple Models - Support for Seedance 1.5 Pro, 1.0 Pro, 1.0 Pro Fast, 1.0 Lite T2V/I2V
Multiple Resolutions - 480p, 720p (default), and 1080p output
Flexible Aspect Ratios - 16:9, 9:16, 1:1, 4:3, 3:4, 21:9, and adaptive
Audio Generation - Generate synchronized audio for videos (1.5 Pro)
Service Tiers - Default (priority) and Flex (cost-effective) processing
Task Tracking - Monitor generation progress and retrieve results
Tool Reference
Tool | Description |
| Generate AI video from a text prompt using ByteDance Seedance. |
| Generate AI video using reference images with ByteDance Seedance. |
| Query the status and result of a video generation task. |
| Query multiple video generation tasks at once. |
| List all available Seedance models with their capabilities and pricing. |
| List all available resolutions and aspect ratios for Seedance. |
| List all available Seedance API actions and corresponding tools. |
Quick Start
1. Get Your API Token
Sign up at AceDataCloud Platform
Go to the API documentation page
Click "Acquire" to get your API token
Copy the token for use below
2. Use the Hosted Server (Recommended)
AceDataCloud hosts a managed MCP server — no local installation required.
Endpoint: https://seedance.mcp.acedata.cloud/mcp
All requests require a Bearer token. Use the API token from Step 1.
Claude.ai
Connect directly on Claude.ai with OAuth — no API token needed:
Go to Claude.ai Settings → Integrations → Add More
Enter the server URL:
https://seedance.mcp.acedata.cloud/mcpComplete the OAuth login flow
Start using the tools in your conversation
Claude Desktop
Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"seedance": {
"type": "streamable-http",
"url": "https://seedance.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Cursor / Windsurf
Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):
{
"mcpServers": {
"seedance": {
"type": "streamable-http",
"url": "https://seedance.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}VS Code (Copilot)
Add to your VS Code MCP config (.vscode/mcp.json):
{
"servers": {
"seedance": {
"type": "streamable-http",
"url": "https://seedance.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Or install the Ace Data Cloud MCP extension for VS Code, which bundles all 15 MCP servers with one-click setup.
JetBrains IDEs
Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Click Add → HTTP
Paste:
{
"mcpServers": {
"seedance": {
"url": "https://seedance.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Claude Code
Claude Code supports MCP servers natively:
claude mcp add seedance --transport http https://seedance.mcp.acedata.cloud/mcp \
-h "Authorization: Bearer YOUR_API_TOKEN"Or add to your project's .mcp.json:
{
"mcpServers": {
"seedance": {
"type": "streamable-http",
"url": "https://seedance.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Cline
Add to Cline's MCP settings (.cline/mcp_settings.json):
{
"mcpServers": {
"seedance": {
"type": "streamable-http",
"url": "https://seedance.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Amazon Q Developer
Add to your MCP configuration:
{
"mcpServers": {
"seedance": {
"type": "streamable-http",
"url": "https://seedance.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Roo Code
Add to Roo Code MCP settings:
{
"mcpServers": {
"seedance": {
"type": "streamable-http",
"url": "https://seedance.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Continue.dev
Add to .continue/config.yaml:
mcpServers:
- name: seedance
type: streamable-http
url: https://seedance.mcp.acedata.cloud/mcp
headers:
Authorization: "Bearer YOUR_API_TOKEN"Zed
Add to Zed's settings (~/.config/zed/settings.json):
{
"language_models": {
"mcp_servers": {
"seedance": {
"url": "https://seedance.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
}cURL Test
# Health check (no auth required)
curl https://seedance.mcp.acedata.cloud/health
# MCP initialize
curl -X POST https://seedance.mcp.acedata.cloud/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'3. Or Run Locally (Alternative)
If you prefer to run the server on your own machine:
# Install from PyPI
pip install mcp-seedance
# or
uvx mcp-seedance
# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"
# Run (stdio mode for Claude Desktop / local clients)
mcp-seedance
# Run (HTTP mode for remote access)
mcp-seedance --transport http --port 8000Claude Desktop (Local)
{
"mcpServers": {
"seedance": {
"command": "uvx",
"args": ["mcp-seedance"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your_token_here"
}
}
}
}Docker (Self-Hosting)
docker pull ghcr.io/acedatacloud/mcp-seedance:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-seedance:latestClients connect with their own Bearer token — the server extracts the token from each request's Authorization header.
Available Tools
Video Generation
Tool | Description |
| Generate video from a text prompt |
| Generate video using reference/start/end images |
Tasks
Tool | Description |
| Query a single task status |
| Query multiple tasks at once |
Information
Tool | Description |
| List available Seedance models |
| List available output resolutions |
| List available API actions |
Usage Examples
Generate Video from Prompt
User: Create a video of a cat playing with a ball of yarn
Claude: I'll generate a video for you.
[Calls seedance_generate_video with prompt="A cute cat playfully batting a ball of yarn"]Animate an Image
User: Turn this image into a video: https://example.com/landscape.jpg
Claude: I'll create a video from your image.
[Calls seedance_generate_video_from_image with first_frame_url and appropriate prompt]Generate with Audio
User: Create a video of rain falling with sound
Claude: I'll generate a video with synchronized audio.
[Calls seedance_generate_video with prompt="Rain falling on a quiet street" and generate_audio=True, model="doubao-seedance-1-5-pro-251215"]Available Models
Model | Description | Features |
| 1.5 Pro | Audio generation, T2V, I2V |
| 1.0 Pro (default) | High quality T2V, I2V |
| 1.0 Pro Fast | Faster generation |
| 1.0 Lite T2V | Lightweight text-to-video |
| 1.0 Lite I2V | Lightweight image-to-video |
Available Aspect Ratios
Aspect Ratio | Description | Use Case |
| Landscape (default) | YouTube, TV, presentations |
| Portrait | TikTok, Instagram Reels |
| Square | Instagram posts |
| Traditional | Classic video format |
| Portrait traditional | Portrait content |
| Ultrawide | Cinematic content |
| Adaptive | Auto-detect from image |
Configuration
Environment Variables
Variable | Description | Default |
| API token from AceDataCloud | Required |
| API base URL |
|
| OAuth client ID (hosted mode) | — |
| Platform base URL |
|
| Default model |
|
| Default resolution |
|
| Default aspect ratio |
|
| Default duration (seconds) |
|
| Request timeout in seconds |
|
| Logging level |
|
Command Line Options
mcp-seedance --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/SeedanceMCP.git
cd SeedanceMCP
# 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 tests/test_integration.py -m integrationCode Quality
# Format code
ruff format .
# Lint code
ruff check .
# Type check
mypy core toolsBuild & Publish
# Install build dependencies
pip install -e ".[release]"
# Build package
python -m build
# Upload to PyPI
twine upload dist/*Project Structure
SeedanceMCP/
├── core/ # Core modules
│ ├── __init__.py
│ ├── client.py # HTTP client for Seedance 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
│ ├── video_tools.py # Video generation tools
│ ├── task_tools.py # Task query tools
│ └── info_tools.py # Information tools
├── prompts/ # MCP prompts
│ └── __init__.py # Prompt templates
├── tests/ # Test suite
│ ├── conftest.py
│ ├── test_client.py
│ ├── test_config.py
│ ├── test_integration.py
│ └── test_utils.py
├── deploy/ # Deployment configs
│ └── production/
│ ├── deployment.yaml
│ ├── ingress.yaml
│ └── service.yaml
├── .env.example # Environment template
├── .gitignore
├── 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 Seedance API:
Seedance Videos API - Video generation
Seedance Tasks API - Task queries
Contributing
Contributions are welcome! Please:
Fork the repository
Create a feature branch (
git checkout -b feature/amazing)Commit your changes (
git commit -m 'Add amazing feature')Push to the branch (
git push origin feature/amazing)Open a Pull Request
License
MIT License - see LICENSE for details.
Links
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