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Maestro MCP Server

Developer ToolsUse Caution4.8MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

Produce complete AI videos from a brief with Maestro

About

Produce complete AI videos from a brief with Maestro

Remote endpoints: streamable-http: https://maestro.mcp.acedata.cloud/mcp

Security Report

4.8
Use Caution4.8High Risk

This is a well-structured MCP server for video generation with proper OAuth2 authentication and reasonable authorization controls. The codebase demonstrates good security practices including PKCE-protected OAuth flows, secure token handling, and input validation. Minor code quality observations exist but do not constitute security vulnerabilities. Permissions (network_http, env_vars) are appropriate for the server's purpose of integrating with external APIs. Supply chain analysis found 7 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.

7 files analyzed · 13 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

API token from Ace Data Cloud (https://platform.acedata.cloud)Required

Environment variable: ACEDATACLOUD_API_TOKEN

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

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

ToolPurpose
maestro_create_videoCreate a video or run remix, edit, or extend on an earlier task
maestro_get_taskRead progress, status, and final language variants for one task

Example

Ask an MCP client:

Create a 45-second 16:9 English product launch video from this product photo. Use a pro 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.

Production SKUs

SKUPriceDurationOutputLanguagesCapabilities
lite0.20 Credits/second5–30s720p/24fps1auto/narrated/captions; generate/edit
standard0.60 Credits/second5–120s1080p/30fps2adds avatar and remix
pro1.20 Credits/second5–300s1080p/30fps4adds drama and extend

Successful tasks are billed from the delivered integer-second duration; there is no 30-second minimum. 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

Documentation

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