mcp-video
Automates video editing tasks at scale without external APIs or licensing costs.
Video editing MCP server for AI agents. 87 FFmpeg and Hyperframes tools, Python client, and CLI. Local, fast, free.
- Auto-generate social media clips from longer video recordings
- Extract frames from video for CV/ML training datasets
- Batch transcode video formats across media libraries
Automates video editing tasks at scale without external APIs or licensing costs. Runs locally with 87 pre-built FFmpeg and Hyperframes tools, enabling agents to handle frame manipulation, transcoding, and composition programmatically.
Development teams and AI agents that need to batch-process video, extract frames, or programmatically compose video content without manual editing or third-party service dependencies.
https://github.com/KyaniteLabs/mcp-video
By KyaniteLabs
How to Get It
claude mcp add mcp-video -- npx -y mcp-video
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.
Once it’s connected, paste this into Claude:
Help me auto-generate social media clips from longer video recordings
Trust Signals Auto-scanned
Data & Access
Community Pulse Active
Discussed on Hacker News, Reddit
- Civ 5 AI battle – All 43 Civs on same map [video] — Hacker News · 182 pts
- Watch as 1000 years of European borders change – timelapse map [video] — Hacker News · 127 pts
- built this video with Claude + Remotion + Figma MCP — Reddit · 63 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 91 GitHub stars; 22 contributors; last commit 1d 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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Evaluation
Scored from trust signals (evidence-eval-v1): 91 GitHub stars; 22 contributors; last commit 1d ago; license Apache-2.0.