A
licenseA
qualityC
maintenanceWan AI video generation with text-to-video, image-to-video, and multiple quality models via AceDataCloud API.
8
428 PyPI
1
MIT
KlingMCP
by AceDataCloud
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TDQS
A3.6/5.0
Scored across 15 tools
Disambiguation3/5
Many tools are video-generation variants (standard, turbo, assets, storyboard, goods studio, commerce) whose boundaries require reading detailed descriptions; lip_sync and talking_photo also overlap as audio-driven avatar generation. Task-query and meta-list tools are clearly distinct, but the generation surface has multiple confusable entry points.
Naming Consistency4/5
All tools share the kling_ snake_case prefix, and most follow a verb_noun pattern (generate_video, get_task, list_models). A few are feature/noun phrases (lip_sync, talking_photo, goods_studio, video_commerce), which is a minor deviation but still readable.
Tool Count5/5
At 15 tools, the server is within the well-scoped range and each tool maps to a distinct generation mode, task-query need, or reference list. The count is appropriate for the breadth of Kling video-generation workflows.
Completeness4/5
The surface covers text-to-video, image-to-video, extension, motion transfer, lip sync, talking photo, specialized commercial generation, and task polling. Minor gaps remain, such as task cancellation/deletion or asset-upload management, but core generation and retrieval workflows are covered.
Maintenance
ActivityActive
ResponsivenessUnresponsive