Maestro MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ACEDATACLOUD_API_TOKEN | Yes | Your Ace Data Cloud API token. Get one from https://platform.acedata.cloud/console/applications |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| maestro_get_taskA | Get live progress and final outputs for one Maestro video task. |
| maestro_list_tasksB | List recent Maestro tasks owned by the authenticated user. |
| maestro_create_videoA | Create a complete video or iterate on a prior Maestro video. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| maestro_video_workflow | Explain the recommended Maestro workflow. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
The three tools map to clearly distinct actions: creating a video task, fetching a single task's status/outputs, and listing recent tasks. There is no plausible way to confuse create with get or list, and descriptions reinforce the async task_id workflow.
All tools use a uniform maestro_ prefix followed by a consistent verb_noun pattern (create_video, get_task, list_tasks). The convention is predictable and readable throughout.
Three tools is on the lean side but each earns its place in the create-then-poll-via-task_id pattern, so the surface is well-scoped rather than padded. It is slightly thin in that there is no cancellation or asset-management tool.
The core lifecycle is covered: submit a job, monitor it, and enumerate prior jobs with outputs (video, captions, cover). Minor gaps exist around cancelling a running task or deleting/retrieving past assets, which agents cannot do with the current surface.