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Edit videos in DeepSeek Harness with ChatCut using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dsh-plugin-chatcut" yet — see the docs or source repo.
Using the video transcript, remove all pauses longer than 2 seconds and repetitive phrasing, keep the key points, and produce an export-ready edit.
A condensed video edit based on the transcript, ready for export.
Add clear captions to this promo video, break lines by meaning, and optimize readability for mobile viewers.
A video version or edit result with readable captions applied.
Please add simple motion graphics to the intro and outro, then export the final video.
A final exportable video with motion graphics on the intro and outro.
Content creators or marketing teams can describe edit requests in natural language, quickly trim redundant parts from the transcript, add captions, and produce exportable videos. This reduces manual timeline editing work.
Design or brand teams can use this tool to add captions and motion graphics to promo videos and export the result. It fits scenarios where teams need faster turnaround for basic packaged video content.
It is an MCP server that integrates ChatCut's video editing capabilities into DeepSeek Harness. It supports natural-language video editing, including transcript-based edits, captions, motion graphics, and exports.
Based on the provided information, it is tied to DeepSeek Harness and ChatCut. More specific runtime, credential, or account requirements are not provided; see the source repository.
Its key difference is MCP-based integration into an AI workflow and support for natural-language-driven editing. The description also explicitly mentions transcript-based edits, captions, motion graphics, and exports.
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