Maestro MCP Serverofficial
A
licenseA
qualityA
maintenanceProduce complete videos from a natural-language brief with Maestro through the Ace Data Cloud API.
3
403 PyPI
MIT
Happy Horse MCP Server
by AceDataCloud
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TDQS
A3.6/5.0
Scored across 7 tools
Disambiguation5/5
Each tool targets a distinct action: listing models, retrieving single or batch tasks, generating from text/image/references, and editing video. The generation variants are clearly separated by source type and input description.
Naming Consistency5/5
All tools follow the same happyhorse_verb_noun naming pattern with snake_case throughout. Variations like generate_video_from_image and generate_video_from_references are logical extensions of the root verb.
Tool Count5/5
Seven tools cover a focused video generation and editing domain without unnecessary extras. This is a well-scoped size that gives agents a clear, manageable set of operations.
Completeness4/5
The main task lifecycle is covered: model discovery, generation with multiple input modes, editing, and status retrieval including batch. Minor gaps include no list-all-tasks or cancel/delete operations, but these are not essential to the core workflow.
Maintenance
ActivityMaintained
ResponsivenessNo issues