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_TOKENResumen de MCP Servers
# 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.Lo que la gente pregunta sobre MaestroMCP
¿Qué es AceDataCloud/MaestroMCP?
+
AceDataCloud/MaestroMCP es mcp servers para el ecosistema de Claude AI. MCP server for end-to-end AI video production with Maestro through Ace Data Cloud. Tiene 0 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala MaestroMCP?
+
Puedes instalar MaestroMCP clonando el repositorio (https://github.com/AceDataCloud/MaestroMCP) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar AceDataCloud/MaestroMCP?
+
AceDataCloud/MaestroMCP aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene AceDataCloud/MaestroMCP?
+
AceDataCloud/MaestroMCP es mantenido por AceDataCloud. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a MaestroMCP?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega MaestroMCP en tu cloud
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[](https://claudewave.com/repo/acedatacloud-maestromcp)<a href="https://claudewave.com/repo/acedatacloud-maestromcp"><img src="https://claudewave.com/api/badge/acedatacloud-maestromcp" alt="Featured on ClaudeWave: AceDataCloud/MaestroMCP" width="320" height="64" /></a>Más MCP Servers
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