Metadata-Version: 2.4
Name: mcp-seedance
Version: 2026.10.4.0
Summary: MCP Server for ByteDance Seedance AI Video Generation via AceDataCloud API
Project-URL: Homepage, https://github.com/AceDataCloud/SeedanceMCP
Project-URL: Documentation, https://platform.acedata.cloud/documents/seedance-mcp?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_quick_start
Project-URL: Repository, https://github.com/AceDataCloud/SeedanceMCP
Project-URL: Issues, https://github.com/AceDataCloud/SeedanceMCP/issues
Project-URL: Changelog, https://github.com/AceDataCloud/SeedanceMCP/blob/main/CHANGELOG.md
Author-email: AceDataCloud <support@acedata.cloud>
Maintainer-email: AceDataCloud <support@acedata.cloud>
License: MIT
License-File: LICENSE
Keywords: acedata,ai,bytedance,claude,generation,llm,mcp,model-context-protocol,seedance,video
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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Requires-Dist: mcp<2,>=1.2.0
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Description-Content-Type: text/markdown

<!-- Generated by scripts/marketing_readmes.py from README.md; do not edit. -->
# SeedanceMCP

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

[![PyPI version](https://img.shields.io/pypi/v/mcp-seedance.svg)](https://pypi.org/project/mcp-seedance/)
[![PyPI downloads](https://img.shields.io/pypi/dm/mcp-seedance.svg)](https://pypi.org/project/mcp-seedance/)
[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![MCP](https://img.shields.io/badge/MCP-Compatible-green.svg)](https://modelcontextprotocol.io)

A [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server for AI video generation using [ByteDance Seedance](https://seedance.ai) through the [AceDataCloud API](https://platform.acedata.cloud?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_platform).

Generate AI videos directly from Claude, VS Code, or any MCP-compatible client.


## Start with the hosted server

[Open setup guide](https://platform.acedata.cloud/documents/seedance-mcp?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_quick_start) · [Example prompt](#verify-your-first-result)

1. In a client that supports remote MCP OAuth, add **`https://seedance.mcp.acedata.cloud/mcp`** as an HTTP server.
2. Choose **Connect / Sign in**, log in to AceDataCloud, review the requested permissions, and authorize.
3. Enable the tools and ask for a playable video. You do not need to create or paste an API token for this route.

The server already supports OAuth discovery, dynamic client registration (DCR), and S256 PKCE.
DCR registers the **client application**; you still sign in and approve access. Authorization does
not make generation free. Review the consent screen: the media integration can read your profile
and manage the applications and credentials used for API access. Usage is charged to your account.

### Client compatibility

| Client / mode | Start path | Boundary |
| --- | --- | --- |
| Claude web / Desktop with remote custom connectors | Add the URL in the connector UI, then authorize | Availability and menu names depend on your plan and app version. The local Desktop JSON is for stdio; do not paste HTTP config there. |
| VS Code with native remote MCP support | Run **MCP: Add Server**, select HTTP, paste the URL, then follow authentication | Use a version with OAuth/DCR support. The optional AceDataCloud extension has its own API-key setup. |
| Other remote clients | Use the client's documented HTTP + OAuth flow | Support varies by client and version; an endpoint alone does not prove the client's login flow works. |
| Local stdio / self-hosted / clients without OAuth | Use the API Token path below | Keep the token in a local secret or environment variable; never in the server URL or Git. |

### Verify your first result

> Generate a short video of clouds moving over a mountain, then retrieve the completed task and final video URL.

This is a reproducible example prompt, not a promised generation time or a recorded success.
A connected server, `tools/list`, and a task ID only confirm setup/submission. Keep the task ID,
wait for terminal success, then open or play the final media. Pending previews and failed tasks
are not a completed result.

### Charges and common failures

- The MCP code is open source; hosted API generation is metered. Check current service pricing,
  model availability, account balance, and applicable terms before generating. No free allowance
  or commercial-use right is implied by installing this package.
- **Login loop / 401:** reconnect using the client's authentication UI; for local usage check the
  token and its scope. Update a client that cannot discover or register an OAuth server.
- **403 / access denied:** inspect the error and account permissions; a moderation rejection
  requires changing the input. **Insufficient balance:** inspect billing before retrying.
- **Pending / failed generation:** poll the same task; read the final error. Do not repeatedly
  submit new tasks to fix polling. A new generation may incur a new charge.

### API Token path

For local stdio or a client without OAuth, [open your applications](https://platform.acedata.cloud/console/applications?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_api_key),
sign in, choose the service, and create an API credential with the required scope. Configure
`ACEDATACLOUD_API_TOKEN` locally, or use the client's documented Bearer-header setting.
Use the local commands below for stdio; HTTP configuration formats are client-specific.

## 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 2.0 (incl. Fast/Mini, multimodal reference), 1.5 Pro, 1.0 Pro, 1.0 Pro Fast, 1.0 Lite T2V/I2V
- **Multiple Resolutions** - 480p, 720p (default), 1080p, and 4k output (2.5 supports 1080p; 4k: `doubao-seedance-2-0-260128` only)
- **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 and 2.0 series)
- **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. |

## Run locally with an API token

If you prefer to run the server on your own machine:

```bash
# 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)

```json
{
  "mcpServers": {
    "seedance": {
      "command": "uvx",
      "args": ["mcp-seedance"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}
```

#### Docker (Self-Hosting)

```bash
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-2-5-260628`          | 2.5               | Up to 30s and 1080p, edit/extend, multimodal reference |
| `doubao-seedance-2-0-fast-260128`     | 2.0 Fast          | Latest generation fast     |
| `doubao-seedance-2-0-mini-260615`     | 2.0 Mini          | Latest generation, lightweight, cheapest 2.0 |
| `doubao-seedance-1-5-pro-251215`      | 1.5 Pro           | Audio generation, T2V, I2V |
| `doubao-seedance-1-0-pro-250528`      | 1.0 Pro           | 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-2-0-260128` |
| `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

```bash
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

```bash
# 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

```bash
# 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

```bash
# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy core tools
```

### Build & Publish

```bash
# 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](https://platform.acedata.cloud/documents/seedance-videos?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_documents_seedance-videos):

- [Seedance Videos API](https://platform.acedata.cloud/documents/seedance-videos?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_documents_seedance-videos) - Video generation
- [Seedance Tasks API](https://platform.acedata.cloud/documents/seedance-tasks?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_documents_seedance-tasks) - Task queries

## 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

## Documentation

<!-- canonical-documentation -->
[Documentation](https://platform.acedata.cloud/documents/seedance-mcp?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_quick_start)

## License

MIT License - see [LICENSE](LICENSE) for details.

## Links

- [AceDataCloud Platform](https://platform.acedata.cloud?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_platform)
- [ByteDance Seedance](https://seedance.ai)
- [Model Context Protocol](https://modelcontextprotocol.io)
- [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk)

---

Made with love by [AceDataCloud](https://platform.acedata.cloud?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=seedance_mcp_package_platform)
