NextCut
Automate video creation and editing workflows by rendering scenes, templates, and slideshows programmatically. Edit media quickly with features for stitching clips, removing silence, trimming segments, and adding burned-in captions. Monitor production pipelines through job tracking and detailed metadata extraction.
https://nextcut.run.tools
How to connect
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Smithery (hosted)
1. Open https://smithery.ai/servers/NextCut/nextcut 2. Click Connect and complete OAuth in your MCP client (Claude, Cursor, VS Code, etc.) 3. MCP endpoint: https://nextcut.run.tools
Tools (15)
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render_videoRender a video from scenes JSON. Each scene has layers (video, text, image, audio, shape, lottie).
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render_templateRender a video from a saved template ID with field overrides.
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stitch_videosConcatenate multiple video clips into one with optional transitions.
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smart_stitchAuto-detect and remove silence from video clips, then stitch them together.
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trim_videoExtract a segment from a video by start and end time in seconds.
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extract_thumbnailExport a single frame from a video as PNG or JPEG.
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add_captionsAuto-transcribe a video and burn captions onto it.
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create_slideshowCreate a video from a sequence of images with transitions and optional audio.
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probe_videoGet video metadata: duration, resolution, fps, codec, file size.
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html_to_imageRender HTML strings to PNG images.
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list_templatesList all available video templates.
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get_templateGet full details of a specific template including scenes and dynamic fields.
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get_render_statusCheck status of a render job by ID.
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list_rendersList recent render jobs. Optionally filter by status.
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get_usageGet current account usage: render count, plan tier, limits, cost.