AI-video-generator-MCP
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AlicenseNot gradedqualityFmaintenanceEnables video generation from text, images, and more through MCP-compatible apps like Claude and Cursor.52MIT- AlicenseNot gradedqualityCmaintenanceExposes video generation and editing tools to MCP-capable clients, enabling text-to-video, image-to-video, video editing, reusable voice and character profiles, and task status queries through natural language.4MIT
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TDQS
Scored across 4 tools
Each tool maps to a distinct stage of the asynchronous video-generation workflow: create starts a job, status polls progress, result retrieves output, and cancel aborts a pending job. No two tools overlap in purpose or return type.
All tool names use a consistent verb_noun snake_case pattern: create_video, get_video_status, get_video_result, and cancel_video. The get_ prefix is consistently used for retrieval operations, making the API surface easy to predict.
Four tools is an appropriate size for this narrow domain; each tool has a clear, necessary role in the async job lifecycle. There is no redundancy or obvious missing basic operation.
The set supports the full create, poll, retrieve, and cancel workflow for video generation. The main gap is that get_video_status does not expose a 'failed' terminal state, so error handling requires a workaround such as a client-side timeout.