MCP server for Hailuo (MiniMax) AI video generation
Remote endpoints: streamable-http: https://hailuo.mcp.acedata.cloud/mcp
This MCP server for Hailuo video generation has a well-structured architecture with proper authentication mechanisms and reasonable permission scope for its intended purpose. The OAuth 2.1 implementation is thorough and properly handles token exchanges. However, there are minor concerns around input validation in some tool implementations and broad exception handling that should be addressed, though these do not represent critical vulnerabilities. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
5 files analyzed · 11 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: ACEDATACLOUD_API_TOKEN
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
A Model Context Protocol (MCP) server for AI video generation using Hailuo (MiniMax) through the AceDataCloud API.
Generate AI videos directly from Claude, VS Code, or any MCP-compatible client.
| Tool | Description |
|---|---|
hailuo_generate_video | Generate AI video from a text prompt using Hailuo (MiniMax). |
hailuo_generate_video_from_image | Generate AI video from a reference image using Hailuo (MiniMax). |
hailuo_get_task | Query the status and result of a video generation task. |
hailuo_get_tasks_batch | Query multiple video generation tasks at once. |
hailuo_list_models | List all available Hailuo models for video generation. |
hailuo_list_actions | List all available Hailuo API actions and corresponding tools. |
AceDataCloud hosts a managed MCP server — no local installation required.
Endpoint: https://hailuo.mcp.acedata.cloud/mcp
All requests require a Bearer token. Use the API token from Step 1.
Connect directly on Claude.ai with OAuth — no API token needed:
https://hailuo.mcp.acedata.cloud/mcpAdd to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"hailuo": {
"type": "streamable-http",
"url": "https://hailuo.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):
{
"mcpServers": {
"hailuo": {
"type": "streamable-http",
"url": "https://hailuo.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to your VS Code MCP config (.vscode/mcp.json):
{
"servers": {
"hailuo": {
"type": "streamable-http",
"url": "https://hailuo.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Or install the Ace Data Cloud MCP extension for VS Code, which bundles all MCP servers with one-click setup.
{
"mcpServers": {
"hailuo": {
"url": "https://hailuo.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Claude Code supports MCP servers natively:
claude mcp add hailuo --transport http https://hailuo.mcp.acedata.cloud/mcp \
-h "Authorization: Bearer YOUR_API_TOKEN"
Or add to your project's .mcp.json:
{
"mcpServers": {
"hailuo": {
"type": "streamable-http",
"url": "https://hailuo.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to Cline's MCP settings (.cline/mcp_settings.json):
{
"mcpServers": {
"hailuo": {
"type": "streamable-http",
"url": "https://hailuo.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to your MCP configuration:
{
"mcpServers": {
"hailuo": {
"type": "streamable-http",
"url": "https://hailuo.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to Roo Code MCP settings:
{
"mcpServers": {
"hailuo": {
"type": "streamable-http",
"url": "https://hailuo.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to .continue/config.yaml:
mcpServers:
- name: hailuo
type: streamable-http
url: https://hailuo.mcp.acedata.cloud/mcp
headers:
Authorization: "Bearer YOUR_API_TOKEN"
Add to Zed's settings (~/.config/zed/settings.json):
{
"language_models": {
"mcp_servers": {
"hailuo": {
"url": "https://hailuo.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
}
# Health check (no auth required)
curl https://hailuo.mcp.acedata.cloud/health
# MCP initialize
curl -X POST https://hailuo.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"}}}'
If you prefer to run the server on your own machine:
# Install from PyPI
pip install mcp-hailuo
# or
uvx mcp-hailuo
# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"
# Run (stdio mode for Claude Desktop / local clients)
mcp-hailuo
# Run (HTTP mode for remote access)
mcp-hailuo --transport http --port 8000
{
"mcpServers": {
"hailuo": {
"command": "uvx",
"args": ["mcp-hailuo"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your_token_here"
}
}
}
}
docker pull ghcr.io/acedatacloud/mcp-hailuo:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-hailuo:latest
Clients connect with their own Bearer token — the server extracts the token from each request's Authorization header.
| Tool | Description |
|---|---|
hailuo_generate_video | Generate video from a text prompt |
hailuo_generate_video_from_image | Generate video using a reference image |
| Tool | Description |
|---|---|
hailuo_get_task | Query a single task status |
hailuo_get_tasks_batch | Query multiple tasks at once |
| Tool | Description |
|---|---|
hailuo_list_models | List available models |
hailuo_list_actions | List available API actions |
User: Create a video of waves on a beach
Claude: I'll generate a beach wave video for you.
[Calls hailuo_generate_video with prompt="Ocean waves gently crashing on sandy beach, sunset"]
User: Animate this image: https://example.com/image.jpg
Claude: I'll create a video from your image.
[Calls hailuo_generate_video_from_image with first_image_url and appropriate prompt]
| Model | Type | Description | Requires Image |
|---|---|---|---|
minimax-t2v | Text-to-Video | Generate video from text prompt (default) | No |
minimax-i2v | Image-to-Video | Generate video from a reference image | Yes |
minimax-i2v-director | Director Mode | Image-to-video with creative control | Yes |
| 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 |
HAILUO_DEFAULT_MODEL | Default video model | minimax-t2v |
HAILUO_REQUEST_TIMEOUT | Request timeout in seconds | 1800 |
LOG_LEVEL | Logging level | INFO |
mcp-hailuo --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/HailuoMCP.git
cd HailuoMCP
# 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/*
HailuoMCP/
├── core/ # Core modules
│ ├── __init__.py
│ ├── client.py # HTTP client for Hailuo 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 Hailuo API:
Contributions are welcome! Please:
git checkout -b feature/amazing)git commit -m 'Add amazing feature')git push origin feature/amazing)MIT License - see LICENSE for details.
Made with love by AceDataCloud
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