A
licenseA
qualityA
maintenanceEnables AI video generation and editing, including text-to-video, image-to-video, reference-to-video, and video editing through the Ace Data Cloud API.
7
1,361 PyPI
MIT
Maestro MCP Server
Officialby AceDataCloud
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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