MCP server for end-to-end AI video production with Maestro via AceDataCloud
Project description
Maestro MCP Server
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.
Install
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.
Tools
| 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 |
Example
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"
}
MCP Client Configuration
{
"mcpServers": {
"maestro": {
"command": "uvx",
"args": ["mcp-maestro"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your-token"
}
}
}
}
Development
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.
Project details
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