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pypi mcp-maestrostreamable-httpMITupdated 15d ago

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.

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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

Example

Ask an MCP client:

Create a 45-second 16:9 English product launch video from this product photo. Use a pro 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.

Production SKUs

SKU Price Duration Output Languages Capabilities
lite 0.20 Credits/second 5–30s 720p/24fps 1 auto/narrated/captions; generate/edit
standard 0.60 Credits/second 5–120s 1080p/30fps 2 adds avatar and remix
pro 1.20 Credits/second 5–300s 1080p/30fps 4 adds drama and extend

Successful tasks are billed from the delivered integer-second duration; there is no 30-second minimum. Avatar uses a 1.15× scenario multiplier, drama uses 1.35×, and each additional delivered language adds 6 Credits. Failed tasks and task polling are free.

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.

Documentation

Documentation