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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.

Related MCP server: WanMCP

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.

Install Server
A
license - permissive license
A
quality
A
maintenance

Maintenance

Maintainers
Response time
2dRelease cycle
14Releases (12mo)
Commit activity

Resources

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Related MCP Connectors

  • Create and manage cinematic AI video renders through the Future Video Studio Agent API.

  • AI video generation via the Vivideo API: auto or manual mode, avatars, voices, brand kits.

  • AI clips from long videos: analyze, clip, render and publish via the CutPro API.

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