kinocut
Enables AI agents to programmatically edit and repurpose video content without manual intervention, reducing production bottlenecks and enabling scalable con…
Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and CLI. Local, fast, free.
- Automate video clip extraction from long recordings for presentation highlights
- Generate multiple social media formats from a single source video file
- Ask Claude to trim and edit videos programmatically without manual software
Enables AI agents to programmatically edit and repurpose video content without manual intervention, reducing production bottlenecks and enabling scalable content workflows for teams managing high-volume video assets.
Content operations teams and developers building AI automation pipelines for video production and multi-platform repurposing.
https://github.com/KyaniteLabs/kinocut
By KyaniteLabs
How to Get It
claude plugins install KyaniteLabs/kinocut
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me automate video clip extraction from long recordings for presentation highlights
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 104 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 104 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.