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 the authenticated account's recent tasks, newest first |
Example
Ask an MCP client:
Create a 45-second 16:9 English product launch video from this product photo. Use an 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 inspect existing task history without creating a video, call maestro_list_tasks. It accepts a limit from 1 to 100 and optional exclusive created_at_min / created_at_max Unix timestamp bounds. The returned items honor those filters; count remains the authenticated account's total visible task count.
Production contract
Maestro provides the complete capability set on every request: all actions and scenarios, 5–300 seconds, up to 4 languages, and 1080p/30fps output. The base price is 0.60 Credits per delivered second. 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
1 maintainer
Metadata
1 maintainer
Release files for mcp-maestro 2026.9.29.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcp_maestro-2026.9.29.0.tar.gz | 17.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcp_maestro-2026.9.29.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.3 kB
Release files / mcp_maestro-2026.9.29.0.tar.gz
| Download URL | mcp_maestro-2026.9.29.0.tar.gz |
|---|---|
| Size | 17.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.3
|
Release files / mcp_maestro-2026.9.29.0-py3-none-any.whl
| Download URL | mcp_maestro-2026.9.29.0-py3-none-any.whl |
|---|---|
| Size | 18.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1f12a6e8c579ec174427dea733e2b1b19530cedd0d6b44f3555a34210a5dc270
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BLAKE2b-256 checksum How to use checksums |
bb81aad142bb562ce8c75a50e7942bdbc2bad4743dac74918da9bbfb471600af
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.3
|
