Kinocut MCP Server
Open-source guardrailed video editing MCP server from Kyanite Labs that gives AI agents control over video editing operations. Built on FFmpeg with Hyperframes support for frame-accurate editing. Includes repurposing tools for content adaptation, a Python client library and CLI. Runs locally for fast processing. Designed with safety guardrails to prevent destructive operations on source media. Free and open source on GitHub.
MCP unverified
Integration
| Transport | stdio |
| Auth | none |
| Endpoint | https://github.com/KyaniteLabs/kinocut |
Use Cases
| 01 | Enable AI agents to perform frame-accurate video editing operations like trimming, splitting and concatenating clips through the Kinocut MCP server with built-in safety guardrails |
| 02 | Automate content repurposing workflows where AI agents extract highlights, resize for different platforms and generate clips from longer videos using Kinocut via MCP |
| 03 | Build AI-powered video production pipelines where agents process raw footage, apply edits and export final cuts locally through FFmpeg operations exposed via the Kinocut MCP server |
Tags
video-editing ffmpeg media content-repurposing open-source local
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>