AceDataCloud Maestro
FreeNot checkedProduce complete AI-generated videos from a brief via AceDataCloud's Maestro MCP.
About
Produce complete AI-generated videos from a brief via AceDataCloud's Maestro MCP.
README
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
| 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 |
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
| SKU | Price | Duration | Output | Languages | Capabilities |
|---|---|---|---|---|---|
lite |
0.20 Credits/second | 5–30s | 720p/24fps | 1 | auto/narrated/captions; generate/edit |
standard |
0.60 Credits/second | 5–120s | 1080p/30fps | 2 | adds avatar and remix |
pro |
1.20 Credits/second | 5–300s | 1080p/30fps | 4 | adds 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.
Installing AceDataCloud Maestro
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/acedatacloud/maestromcpFAQ
Is AceDataCloud Maestro MCP free?
Yes, AceDataCloud Maestro MCP is free — one-click install via Unyly at no cost.
Does AceDataCloud Maestro need an API key?
No, AceDataCloud Maestro runs without API keys or environment variables.
Is AceDataCloud Maestro hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install AceDataCloud Maestro in Claude Desktop, Claude Code or Cursor?
Open AceDataCloud Maestro on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
by lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
MCPHub
Website to list high quality MCP servers and reviews by real users. Also provide online chatbot for popular LLM models with MCP server support.
MCP Servers Rating and User Reviews
Website to rate MCP servers, write authentic user reviews, and [search engine for agent & mcp](http://www.deepnlp.org/search/agent)
mkinf
An Open Source registry of hosted MCP Servers to accelerate AI agent workflows.
Compare AceDataCloud Maestro with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
