MCP Maestro

Produce complete AI videos from a brief with Maestro

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-maestro": {
      "command": "uvx",
      "args": [
        "mcp-maestro"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (3)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Maestro.

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

Documentation Overview

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

Terminal

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:

config.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

config.json

{
  "mcpServers": {
    "maestro": {
      "command": "uvx",
      "args": ["mcp-maestro"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your-token"
      }
    }
  }
}

Development

Terminal

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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

11d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Maestro

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-maestro": { "command": "uvx", "args": ["mcp-maestro"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/mcp-maestro?style=directory)](https://allmcps.com/mcp/mcp-maestro)

HTML Embed

<a href="https://allmcps.com/mcp/mcp-maestro"><img src="https://allmcps.com/api/badge/mcp-maestro?style=directory" alt="MCP Maestro on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

11/12 checks healthy over the last 45d

49Quality signal: Fair · 49/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev · mcp-maestro (PyPI)

★ Featured

AllMCPs Server

The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

Explore Server →

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge — proof is checked automatically, then reviewed by our team.

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to MCP Maestro →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Documentation Overview

Maestro MCP Server

Install

Terminal

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.

Production contract

To revise an existing result, call maestro_create_video with an iteration action and the prior task ID:

config.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

config.json

{
  "mcpServers": {
    "maestro": {
      "command": "uvx",
      "args": ["mcp-maestro"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your-token"
      }
    }
  }
}

Development

Terminal

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.