Produce complete AI videos from a brief with Maestro
Remote endpoints: streamable-http: https://maestro.mcp.acedata.cloud/mcp
This MCP server has solid security fundamentals with OAuth 2.0 integration, proper token handling via context variables, and no obvious malicious patterns. The codebase shows good practices in input validation, error handling, and credential management. Minor concerns include broad exception handling in the OAuth flow and verbose JWT debugging logs that could theoretically expose token metadata, but these are low-severity issues appropriate for the server's purpose. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
7 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.
Produce complete videos from a natural-language brief with Maestro through the Ace Data Cloud API. Maestro plans the script, creates or sources media, generates voiceover and music, edits, captions, renders, and returns finished video variants.
pip install mcp-maestro
export ACEDATACLOUD_API_TOKEN="your-token"
mcp-maestro
Get an API token from platform.acedata.cloud.
For a hosted connection, use https://maestro.mcp.acedata.cloud/mcp. It accepts a direct Ace Data Cloud Bearer token and supports OAuth sign-in.
| Tool | Purpose |
|---|---|
maestro_create_video | Create a video or run remix, edit, or extend on an earlier task |
maestro_get_task | Read progress, status, and final language variants for one task |
maestro_list_tasks | List recent tasks for the authenticated account |
Ask an MCP client:
Create a 45-second 16:9 English product launch video from this product photo. Use a premium editorial style and a documentary voice.
The tool returns a task_id immediately. Query that ID until status is succeeded or failed. Successful tasks expose videos in response.data.variants.
To revise an existing result, call maestro_create_video with an iteration action and the prior task ID:
{
"prompt": "Keep the visuals but tighten the first 10 seconds and use a warmer voice.",
"action": "edit",
"ref_task_id": "previous-task-id"
}
{
"mcpServers": {
"maestro": {
"command": "uvx",
"args": ["mcp-maestro"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your-token"
}
}
}
}
pip install -e ".[dev,test,release]"
pytest --cov=core --cov=tools
ruff check .
ruff format --check .
mypy core tools main.py
python -m build
See the Maestro API documentation for billing and response details.
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