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MCPSeedance

AceDataCloud/MCPSeedance
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Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

MCP server for ByteDance Seedance AI video generation

README.md

SeedanceMCP

<!-- mcp-name: io.github.AceDataCloud/mcp-seedance -->

![PyPI version](https://pypi.org/project/mcp-seedance/) ![PyPI downloads](https://pypi.org/project/mcp-seedance/) ![Python 3.10+](https://www.python.org/downloads/) ![License: MIT](https://opensource.org/licenses/MIT) ![MCP](https://modelcontextprotocol.io)

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

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:

  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 registers the hosted MCP servers with one-click setup.

JetBrains IDEs

  1. Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
  2. Click Add → HTTP
  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-2-0-260128 | 2.0 | Latest generation quality | | doubao-seedance-2-0-fast-260128 | 2.0 Fast | Latest generation fast | | 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.

Links

---

Made with love by AceDataCloud

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