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MCP server for end-to-end AI video production with Maestro through Ace Data Cloud.

MCP ServersOfficial Registry0 stars0 forksPythonMITUpdated today
Install in Claude Code / Claude Desktop
Method: pip / Python · mcp-maestro
Claude Code CLI
claude mcp add maestromcp -- python -m mcp-maestro
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "maestromcp": {
      "command": "python",
      "args": ["-m", "build"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "<acedatacloud_api_token>"
      }
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install first: pip install mcp-maestro
Detected environment variables
ACEDATACLOUD_API_TOKEN
Use cases

MCP 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.
acedata-cloudai-videodeveloper-toolsmcpmcp-servermodel-context-protocolvideo-editingvideo-generation

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.

Deploy MaestroMCP to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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Featured on ClaudeWave: AceDataCloud/MaestroMCP
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