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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
ACEDATACLOUD_API_TOKENYesYour 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

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
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.

One task delivers one video in one language. Successful jobs cost 0.7 Credits per actual
delivered second, never above the requested duration, with no scenario or language surcharge.
Failed jobs and task polling are free.

The call returns immediately with a task_id. Use maestro_get_task to monitor progress and obtain
the completed video's output_url, captions_url, cover_url, duration, and QC score.

Prompts

Interactive templates invoked by user choice

NameDescription
maestro_video_workflowExplain the recommended Maestro workflow.

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.7/5.0

Scored across 3 tools

Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count4/5

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.

Completeness4/5

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.

Maintenance

ActivityActive
ResponsivenessNo issues