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Automated security scan — not a certification.
Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimodal audio analysis
# Add to your Claude Code skills
git clone https://github.com/jordanrendric/claude-video-visionGuides for using mcp servers skills like claude-video-vision.
Last scanned: 5/12/2026
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"status": "PASSED",
"scannedAt": "2026-05-12T06:40:29.505Z",
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}See how claude-video-vision compares with popular alternatives.
claude-video-vision is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by jordanrendric. Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimodal audio analysis. It has 1,393 GitHub stars.
Yes. claude-video-vision passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/jordanrendric/claude-video-vision" and add it to your Claude Code skills directory (see the Installation section above).
claude-video-vision is primarily written in TypeScript. It is open-source under jordanrendric on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude-video-vision against similar tools.
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Automated security scan — not a certification.
Give Claude the ability to watch and understand videos.
A Claude Code plugin that extracts frames via ffmpeg and processes audio via multiple backends (Gemini API, local Whisper, or OpenAI API). Claude receives frames as images and audio transcription with timestamps — the plugin is a perception layer, not an interpretation layer.
yt-dlp, preserving source metadata and captions for context/setup-video-vision walks you through configurationInside Claude Code, run these commands one at a time:
/plugin marketplace add https://github.com/jordanrendric/claude-video-vision
Then:
/plugin install claude-video-vision
The MCP server will auto-install via npx from npm on first use — no build step required.
Alternative: local development
git clone https://github.com/jordanrendric/claude-video-vision.git
claude --plugin-dir /path/to/claude-video-vision
Inside Claude Code, run the interactive wizard:
/claude-video-vision:setup-video-vision
It will walk you through backend selection, whisper configuration (if local), frame options, and dependency verification.
/watch-video path/to/video.mp4
/watch-video tutorial.mp4 "what language is used in this tutorial?"
/watch-video https://www.youtube.com/watch?v=... "summarize this video"
Just mention a video file or YouTube URL — Claude will detect it:
"analyze this video for me: ~/Downloads/demo.mp4"
"take a look at the first second of ~/videos/bug-report.mov"
"summarize this YouTube Short: https://www.youtube.com/shorts/..."
Claude adapts parameters automatically:
00:00:00 to 00:00:01| Backend | Audio processing | Cost | Setup |
|---|---|---|---|
| Gemini API | Native (speech + non-speech events) | Free tier: 1500 req/day | GEMINI_API_KEY env var |
| Local (Whisper) | whisper.cpp or Python openai-whisper |
Free, fully offline | brew install whisper-cpp + auto model download |
| OpenAI API | OpenAI Whisper API | Paid per usage | OPENAI_API_KEY env var |
All backends extract video frames via ffmpeg — Claude always has direct visual access.
┌───────────────────────────────────────────────────────┐
│ Claude Code (your session) │
│ │
│ /watch-video ──→ Skill: video-perception │
│ │ │
│ ▼ │
│ MCP tool: video_watch │
│ │ │
└────────────────────────┼──────────────────────────────┘
│
▼
┌────────────────────────────────────┐
│ MCP Server (Node.js) │
│ │
│ ┌──────────┐ ┌──────────────┐ │
│ │ ffmpeg │ │ Audio backend│ │
│ │ frames │ ║ │ (parallel) │ │
│ └──────────┘ └──────────────┘ │
│ │ │ │
└───────┼─────────────────┼──────────┘
▼ ▼
base64 images transcription
+ timestamps + audio events
│ │
└────────┬────────┘
▼
Claude receives both
brew install yt-dlp on macOS)brew install whisper-cpp (macOS) or equivalentThe plugin exposes 6 MCP tools:
video_watch — Extract frames + process audio (main tool)video_analyze — Analyze video structure with ffmpeg filters before extractionvideo_detail — Drill into specific cached or newly extracted momentsvideo_info — Get video metadata without processingvideo_configure — Change settingsvideo_setup — Check and guide dependency installation/watch-video <path> [question] — Analyze a video/setup-video-vision — Interactive configuration wizardSettings are stored in ~/.claude-video-vision/config.json:
{
"backend": "local",
"whisper_engine": "cpp",
"whisper_model": "auto",
"whisper_at": false,
"frame_mode": "images",
"frame_format": "jpeg",
"frame_resolution": 512,
"default_fps": "auto",
"max_frames": 100,
"frame_describer_model": "sonnet",
"enable_index": false,
"session_max_age_days": 7,
"downloads_max_age_days": 7
}
frame_format can be jpeg, png, or webp. jpeg remains the default for backwards compatibility; png is useful for screen recordings where text and sharp UI edges should stay lossless.
Whisper models auto-download to ~/.claude-video-vision/models/ on first use. Available: tiny, base, small, medium, large-v3-turbo, large-v3, auto (picks best for your RAM).
For YouTube URLs, the server uses this transcript order:
Audio results label provenance with transcription_source, for example youtube_subtitles or youtube_auto_captions, so Claude can treat manual subtitles as stronger evidence than auto-captions.
Unknown command: "claude-video-vision@latest"The plugin starts its MCP server with npx -y claude-video-vision@latest. If claude mcp list shows the server as failed and running that command yourself prints Unknown command: "claude-video-vision@latest" followed by a hint about npm help, then npm received the package name as if it were a subcommand. That points to a broken or outdated npx on your machine, not to the plugin.
Check your npm install in PowerShell:
npx --version
npm --version
where.exe npx
Both versions should match (7 or newer), and where.exe npx should point to npx.cmd inside your Node.js install directory.
Fix it by updating npm (npm install -g npm@latest) or reinstalling Node.js 24+ LTS, then restart Claude Code.
Workaround if it still fails: install the server globally and register it yourself.
npm install -g claude-video-vision
claude mcp add --scope user claude-video-vision -- claude-video-vision
The plugin's own server entry will keep showing as failed; you can ignore it. A global install does not update itself, so re-run npm install -g claude-video-vision to pick up new releases.
v1.4.0 — see the CHANGELOG for release history. CI runs on Ubuntu and macOS with Node.js 24 and 26.
MIT — see LICENSE.
Jordan Vasconcelos