MCP server for end-to-end AI video production with Maestro through Ace Data Cloud.
claude mcp add maestromcp -- python -m mcp-maestro{
"mcpServers": {
"maestromcp": {
"command": "python",
"args": ["-m", "build"],
"env": {
"ACEDATACLOUD_API_TOKEN": "<acedatacloud_api_token>"
}
}
}
}ACEDATACLOUD_API_TOKENMCP Servers overview
# Maestro MCP Server
<!-- mcp-name: io.github.AceDataCloud/mcp-maestro -->
Produce complete videos from a natural-language brief with [Maestro](https://studio.acedata.cloud/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
```bash
pip install mcp-maestro
export ACEDATACLOUD_API_TOKEN="your-token"
mcp-maestro
```
Get an API token from [platform.acedata.cloud](https://platform.acedata.cloud/console/applications).
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:
```json
{
"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
```json
{
"mcpServers": {
"maestro": {
"command": "uvx",
"args": ["mcp-maestro"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your-token"
}
}
}
}
```
## Development
```bash
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](https://platform.acedata.cloud/documents/maestro) for billing and response details.What people ask about MaestroMCP
What is AceDataCloud/MaestroMCP?
+
AceDataCloud/MaestroMCP is mcp servers for the Claude AI ecosystem. MCP server for end-to-end AI video production with Maestro through Ace Data Cloud. It has 0 GitHub stars and was last updated today.
How do I install MaestroMCP?
+
You can install MaestroMCP by cloning the repository (https://github.com/AceDataCloud/MaestroMCP) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is AceDataCloud/MaestroMCP safe to use?
+
AceDataCloud/MaestroMCP has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains AceDataCloud/MaestroMCP?
+
AceDataCloud/MaestroMCP is maintained by AceDataCloud. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to MaestroMCP?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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