A Model Context Protocol (MCP) server for AI video generation using Wan through the AceDataCloud API.
Generate AI videos from text or images directly from Claude, VS Code, or any MCP-compatible client.
- Text to Video - Create AI-generated videos from text prompts
- Image to Video - Generate videos using reference images
- Multiple Models - Support for 5 Wan models (wan2.6-t2v, wan2.6-i2v, wan2.6-r2v, wan2.6-i2v-flash, wan3.0-video)
- Multiple Resolutions - 480P (draft), 720P (default), 1080P (high quality)
- Audio Support - Generate videos with sound
- Character Transfer - Extract character appearance via reference videos (wan2.6-r2v)
- Task Tracking - Monitor generation progress and retrieve results
| Tool | Description |
|---|---|
wan_generate_video |
Generate AI video from a text prompt using Wan. |
wan_generate_video_from_image |
Generate AI video using a reference image as the starting frame. |
wan_get_task |
Query the status and result of a video generation task. |
wan_get_tasks_batch |
Query multiple video generation tasks at once. |
wan_list_models |
List all available Wan models for video generation. |
wan_list_resolutions |
List all available resolution options. |
wan_list_actions |
List all available Wan API actions and corresponding tools. |
The hosted endpoint is https://wan.mcp.acedata.cloud/mcp. Choose one route for the MCP client:
| Route | When to use it | Credential setup |
|---|---|---|
| Hosted OAuth | The client supports remote MCP OAuth | Add only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration. |
| Hosted API token | The client cannot finish OAuth, or you need an explicit integration credential | Send an AceDataCloud API token in the Authorization: Bearer … header. Keep it in a local secret store or environment variable. |
| Local stdio | The client runs a local MCP process | Install mcp-wan and pass ACEDATACLOUD_API_TOKEN to that process. It still calls the AceDataCloud API. |
The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). DCR registers the client application; it is not an API key. OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review current service documentation and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed Authorization header for the same server.
- Claude and Claude Desktop chat: Add a remote custom connector in
Customize → Connectors → Add custom connector, enterhttps://wan.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's localclaude_desktop_config.jsonis a separate setup. Claude connector guide. - Claude Code:
claude mcp add --transport http --scope user wan https://wan.mcp.acedata.cloud/mcp, thenclaude mcp login wan. Check/mcp. Claude Code MCP guide. - Cursor: Add a remote server with only
https://wan.mcp.acedata.cloud/mcp. For a project, merge the entry below into<project>/.cursor/mcp.json; for personal use, use~/.cursor/mcp.json. Cursor MCP guide. - VS Code / Copilot: Run MCP: Add Server, select HTTP, enter
https://wan.mcp.acedata.cloud/mcp, then finish the browser sign-in. New portable workspace configs use<project>/.mcp.json; the VS Code-specific format below uses<project>/.vscode/mcp.jsonor the user profile. Check MCP: List Servers. VS Code MCP setup. - Codex:
codex mcp add wan --url https://wan.mcp.acedata.cloud/mcp, thencodex mcp login wan. Its user settings are in~/.codex/config.toml. Official Codex MCP guide.
Cursor project config (OAuth):
{
"mcpServers": {
"wan": {"url": "https://wan.mcp.acedata.cloud/mcp"}
}
}VS Code-specific workspace config (OAuth):
{
"servers": {
"wan": {"type": "http", "url": "https://wan.mcp.acedata.cloud/mcp"}
}
}- Open Ace Data Cloud → Applications. Sign in, or register an account first.
- Find General application. If it has not been created, choose Initialize General Application. A general key can use the services available to your account; a dedicated application's key is limited to its service. Check the required service/model access and current pricing.
- Copy the API Key from the application card, or open Keys / Manage Keys → Create to create a separate key for this integration. Give it a recognizable name so you can revoke or rotate it independently.
- When creating a key, review Expiration Time, Set Usage Limitation, and Allowed APIs. Enable only the restrictions you need, allow the operations you will call, then click Create and copy the token from the key list. Task lookup does not grant permission to submit a generation. Confirm the application's balance can cover your first request; any trial allowance is whatever your account currently displays.
- Copy only the token value, without quotation marks, spaces, or
Bearer. An API Key / API Token field expects this raw value; only a manually configured HTTPAuthorizationheader needs theBearerprefix. Aplatform-...account-management token cannot replace a generation API key.
Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.
A fixed Bearer header bypasses OAuth. If the header is invalid, remove it before trying browser sign-in; keep the saved credential private.
For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
claude mcp add --transport http --scope user wan https://wan.mcp.acedata.cloud/mcp \
--header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"For a Claude Code project config, put a variable reference in <project>/.mcp.json and set that variable in the environment that launches Claude Code:
{
"mcpServers": {
"wan": {
"type": "http",
"url": "https://wan.mcp.acedata.cloud/mcp",
"headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"}
}
}
}Cursor uses a different environment-variable syntax in ~/.cursor/mcp.json or an uncommitted project config:
{
"mcpServers": {
"wan": {
"url": "https://wan.mcp.acedata.cloud/mcp",
"headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"}
}
}
}In VS Code, run MCP: Open User Configuration and merge this server plus its masked input; ${input:...} is for VS Code's user/workspace format and is not portable to the Agent Host .mcp.json format:
{
"inputs": [
{"id": "acedata-wan-token", "type": "promptString", "description": "AceDataCloud API token", "password": true}
],
"servers": {
"wan": {
"type": "http",
"url": "https://wan.mcp.acedata.cloud/mcp",
"headers": {"Authorization": "Bearer ${input:acedata-wan-token}"}
}
}
}For Cline, use its MCP configuration UI or CLI file ~/.cline/data/settings/cline_mcp_settings.json; its remote transport value is streamableHttp. For JetBrains AI Assistant, add a remote URL from Settings → Tools → AI Assistant → Model Context Protocol (MCP). For Zed, use a context_servers entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their current UI rather than copying another client's JSON. Cline · JetBrains · Zed.
Install the package and give the local process an API token:
python -m pip install mcp-wan
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
mcp-wanFor Claude Desktop local MCP, merge this entry into the file opened by its developer settings (~/Library/Application Support/Claude/claude_desktop_config.json on macOS). uvx requires uv on PATH:
{
"mcpServers": {
"wan": {
"command": "uvx",
"args": ["mcp-wan"],
"env": {"ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"}
}
}
}Keep this user-level file private. Self-hosted HTTP uses mcp-wan --transport http --port 8000; expose it only with suitable network and TLS controls. Local execution still calls the AceDataCloud API.
https://wan.mcp.acedata.cloud/healthreturning{"status":"ok"}checks endpoint reachability only.- Confirm that the MCP client loads tools.
wan_list_modelsis a reference tool; it does not verify downstream API access or balance. - If you need a full API check, call
wan_generate_videowith your own valid input after reviewing current service documentation and displayed pricing. If the result contains a task ID, callwan_get_taskon that same ID until terminal success or failure. Do not resubmit the operation just to check progress.
For 401, check which auth route the client used and whether the token or OAuth session is valid. A 403 may mean an account permission or content moderation failure; read the returned error. Insufficient balance and downstream service failures need their own diagnosis. A listed tool or submitted task does not prove a successful result.
| Model | Description | Use Case |
|---|---|---|
wan2.6-t2v |
Text to video | Generate video from text prompts |
wan2.6-i2v |
Image to video | Standard image-to-video generation |
wan2.6-r2v |
Reference video-to-video | Character extraction and transfer |
wan2.6-i2v-flash |
Fast image to video | Quick preview, lower quality |
wan3.0-video |
Text to video | Video generation with optional media |
| Variable | Description | Default |
|---|---|---|
ACEDATACLOUD_API_TOKEN |
API token from AceDataCloud | Required |
ACEDATACLOUD_API_BASE_URL |
API base URL | https://api.acedata.cloud |
WAN_DEFAULT_MODEL |
Default video model | wan2.6-t2v |
WAN_DEFAULT_RESOLUTION |
Default resolution | 720P |
WAN_REQUEST_TIMEOUT |
Request timeout in seconds | 1800 |
LOG_LEVEL |
Logging level | INFO |
mcp-wan --help
Options:
--version Show version
--transport Transport mode: stdio (default) or http
--port Port for HTTP transport (default: 8000)# Clone repository
git clone https://github.com/AceDataCloud/WanMCP.git
cd WanMCP
# 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 unit tests
pytest
# Run with coverage
pytest --cov=core --cov=tools
# Run integration tests (requires API token)
pytest tests/test_integration.py -m integration# Format code
ruff format .
# Lint code
ruff check .
# Type check
mypy core tools# Install build dependencies
pip install -e ".[release]"
# Build package
python -m build
# Upload to PyPI
twine upload dist/*WanMCP/
├── core/ # Core modules
│ ├── __init__.py
│ ├── client.py # HTTP client for Wan API
│ ├── config.py # Configuration management
│ ├── exceptions.py # Custom exceptions
│ ├── oauth.py # OAuth 2.1 provider
│ ├── 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
│ └── __init__.py
├── deploy/ # Deployment configs
│ └── production/
│ ├── deployment.yaml
│ ├── ingress.yaml
│ └── service.yaml
├── .env.example # Environment template
├── 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
This server wraps the AceDataCloud Wan API:
- Wan Videos API - Video generation (text2video, image2video)
- Wan Tasks API - Task queries
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
MIT License - see LICENSE for details.
Made with love by AceDataCloud

