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SeedanceMCP

PyPI version PyPI downloads Python 3.10+ License: MIT MCP

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

seedance_generate_video

Generate AI video from a text prompt using ByteDance Seedance.

seedance_generate_video_from_image

Generate AI video using reference images with ByteDance Seedance.

seedance_get_task

Query the status and result of a video generation task.

seedance_get_tasks_batch

Query multiple video generation tasks at once.

seedance_list_models

List all available Seedance models with their capabilities and pricing.

seedance_list_resolutions

List all available resolutions and aspect ratios for Seedance.

seedance_list_actions

List all available Seedance API actions and corresponding tools.

Quick Start

1. Get Your API Token

  1. Sign up at AceDataCloud Platform

  2. Go to the API documentation page

  3. Click "Acquire" to get your API token

  4. Copy the token for use below

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:

  1. Go to Claude.ai Settings → Integrations → Add More

  2. Enter the server URL: https://seedance.mcp.acedata.cloud/mcp

  3. Complete the OAuth login flow

  4. 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

  1. Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)

  2. Click AddHTTP

  3. 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 8000

Claude 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:latest

Clients connect with their own Bearer token — the server extracts the token from each request's Authorization header.

Available Tools

Video Generation

Tool

Description

seedance_generate_video

Generate video from a text prompt

seedance_generate_video_from_image

Generate video using reference/start/end images

Tasks

Tool

Description

seedance_get_task

Query a single task status

seedance_get_tasks_batch

Query multiple tasks at once

Information

Tool

Description

seedance_list_models

List available Seedance models

seedance_list_resolutions

List available output resolutions

seedance_list_actions

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

doubao-seedance-1-5-pro-251215

1.5 Pro

Audio generation, T2V, I2V

doubao-seedance-1-0-pro-250528

1.0 Pro (default)

High quality T2V, I2V

doubao-seedance-1-0-pro-fast-251015

1.0 Pro Fast

Faster generation

doubao-seedance-1-0-lite-t2v-250428

1.0 Lite T2V

Lightweight text-to-video

doubao-seedance-1-0-lite-i2v-250428

1.0 Lite I2V

Lightweight image-to-video

Available Aspect Ratios

Aspect Ratio

Description

Use Case

16:9

Landscape (default)

YouTube, TV, presentations

9:16

Portrait

TikTok, Instagram Reels

1:1

Square

Instagram posts

4:3

Traditional

Classic video format

3:4

Portrait traditional

Portrait content

21:9

Ultrawide

Cinematic content

adaptive

Adaptive

Auto-detect from image

Configuration

Environment Variables

Variable

Description

Default

ACEDATACLOUD_API_TOKEN

API token from AceDataCloud

Required

ACEDATACLOUD_API_BASE_URL

API base URL

https://api.acedata.cloud

ACEDATACLOUD_OAUTH_CLIENT_ID

OAuth client ID (hosted mode)

ACEDATACLOUD_PLATFORM_BASE_URL

Platform base URL

https://platform.acedata.cloud

SEEDANCE_DEFAULT_MODEL

Default model

doubao-seedance-1-0-pro-250528

SEEDANCE_DEFAULT_RESOLUTION

Default resolution

720p

SEEDANCE_DEFAULT_RATIO

Default aspect ratio

16:9

SEEDANCE_DEFAULT_DURATION

Default duration (seconds)

5

SEEDANCE_REQUEST_TIMEOUT

Request timeout in seconds

1800

LOG_LEVEL

Logging level

INFO

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 integration

Code Quality

# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy core tools

Build & 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.md

API Reference

This server wraps the AceDataCloud Seedance API:

Contributing

Contributions are welcome! Please:

  1. Fork the repository

  2. Create a feature branch (git checkout -b feature/amazing)

  3. Commit your changes (git commit -m 'Add amazing feature')

  4. Push to the branch (git push origin feature/amazing)

  5. Open a Pull Request

License

MIT License - see LICENSE for details.


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