Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_maestro-2026.7.13.1.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_maestro-2026.7.13.1-py3-none-any.whl (18.5 kB view details)

Uploaded Python 3

File details

Details for the file mcp_maestro-2026.7.13.1.tar.gz.

File metadata

  • Download URL: mcp_maestro-2026.7.13.1.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.3

File hashes

Hashes for mcp_maestro-2026.7.13.1.tar.gz
Algorithm Hash digest
SHA256 9e4a4645e53a8d719500c4591a4273550967dc1240070cfdcb73258bded0624b
MD5 a31a924cb43dc9bdec4bdb9df770e31f
BLAKE2b-256 095e7e163788514498ecdb461750bcf688107a85e24c0db99a6632f041780afb

See more details on using hashes here.

File details

Details for the file mcp_maestro-2026.7.13.1-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_maestro-2026.7.13.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5249256c5584d3e4a78c40d30060aa53cb0605ebaf86c0ed7a086798417f0d06
MD5 ad8462ff9fbb1d4c3d5d5a9fe80037f3
BLAKE2b-256 a3ecda05a28f9b3d4a039665852812096ea6951174c2c489ba965de15ffbd539

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page