A
licenseA
qualityB
maintenanceWan AI video generation with text-to-video, image-to-video, and multiple quality models via AceDataCloud API.
7
33 PyPI
1
MIT
KlingMCP
by AceDataCloud
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TDQS
A4.2/5.0
Scored across 10 tools
Disambiguation5/5
Each tool targets a distinct capability: text-to-video, image-to-video, lip sync, talking photo, motion transfer, extension, task querying, and metadata listing. The purposes are clearly separated with explicit guidance on when to use each variant, leaving no ambiguity.
Naming Consistency5/5
All tool names follow the kling_<action>_<object> pattern consistently using snake_case. Verbs like generate, list, get, extend, and noun phrases like lip_sync and talking_photo are uniformly formatted, making naming predictable and coherent.
Tool Count5/5
With 10 tools, the server covers the core video generation lifecycle and specialized features without bloat. The count is well-scoped for a focused MCP server, each tool earning its place.
Completeness4/5
The tool set covers the main workflows: generation from text/image, motion transfer, lip sync, talking photos, video extension, and task monitoring. Minor gaps exist such as no explicit cancel/delete task endpoint, but agents can work around this for typical generation scenarios.
Maintenance
ActivitySlowing
ResponsivenessUnresponsive