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#108 · of 445 · by weekly downloadsMCP server

Kinocut

Professional video editing for AI agents via FFmpeg

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#108
of 445 · by weekly downloads
Weekly downloads
2.9K
npm + PyPI, last 7 days

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Community
Install
pip install kinocut
Transport
stdio
Runtime
Python
Auth
Not required
Tools
196
License
Apache-2.0
Tools
trimmergeresizecroprotateconvertsubtitlesexportscene_detectthumbnailstoryboardquality_compare+8

Kinocut bridges the gap between AI agents and video production workflows. Built on FFmpeg and MCP, it provides agents with professional-grade editing tools organized into logical categories.

Highlights

  • 196 typed MCP tools spanning core editing, AI analysis, and platform-specific repurposing
  • Workflow engine for multi-step video jobs with validation and rescue pipelines
  • AI-assisted features including transcription, scene detection, upscaling, and stem separation
  • Social platform optimization for YouTube Shorts, Instagram Reels, and TikTok formats
  • Hyperframes integration for web capture, background removal, and text-to-speech overlays
  • Video receipts for provenance tracking and quality verification
  • Guardrailed execution preventing unsafe file operations

Agents can orchestrate complex video tasks—from editing raw footage to generating platform-specific versions—without direct FFmpeg knowledge. The server handles dependencies, validates workflows, and provides detailed error reporting. Installation requires Python 3.11+ and FFmpeg on the system path.

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