A
licenseA
qualityA
maintenanceKling AI video generation with text-to-video, image-to-video, and multiple quality/speed models via AceDataCloud API.
15
487 PyPI
1
MIT
WanMCP
by AceDataCloud
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Maestro MCP Serverofficial
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TDQS
A3.6/5.0
Scored across 8 tools
Disambiguation3/5
The list_* and get_task tools are clearly distinct, but wan_generate_video, wan_generate_video_from_image, and especially wan_generate_video_all_in_one overlap heavily since all_in_one accepts text, frames, reference media, files, and links. An agent has no clear guidance on when to prefer the specialized tools over the all-in-one.
Naming Consistency5/5
All tools use a consistent wan_ prefix followed by a verb_noun pattern (wan_generate_video, wan_get_task, wan_list_models), with snake_case throughout. Suffixes like _from_image, _batch, and _all_in_one remain readable and predictable.
Tool Count4/5
Eight tools is a well-scoped set for a video generation API covering generation, task polling, and reference listings. The all-in-one tool is arguably redundant with the specialized generators, slightly inflating the count.
Completeness4/5
The surface covers generation (t2v, i2v, all-in-one), single and batch task polling, and reference listings for actions, models, and resolutions. Minor gaps exist around task lifecycle management (cancel/delete) and direct video download, but core workflows are covered.
Maintenance
ActivityActive
ResponsivenessUnresponsive