What are the prerequisites for Video To Claude?
Node.js 20+ (Node 24 recommended), the Claude Code CLI installed, and any of Windows, macOS, or Linux. No Python or separate ffmpeg is needed – both are bundled.
@AdityaO5
基本情報
Claude to Dev - easiest way for you showcase close to video issues of your projects, this tool helps you cut out noise and focus only where you need claude to see
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"video-to-claude": {
"command": "npx",
"args": [
"video-to-claude-mcp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Video To Claude is an MCP server that lets you drop a screen recording, scrub the timeline, draw annotations on frames, and send the annotated WebPs directly into your Claude Code conversation as vision input. It is designed for Claude Code users who need to provide visual context from video.
Type /vtc in Claude Code. Option A (recommended) uses the Claude Code plugin: /plugin install github:adityaO5/video-to-claude. Option B installs via npm (claude mcp add video-to-claude --scope user -- npx video-to-claude-mcp). Option C clones and builds from GitHub. After installation, the /vtc command opens a browser; you upload a video, scrub the timeline, annotate frames with red marks, capture frames, and click Send to deliver them to the conversation.
.mp4, .mov, .webm, and others/vtc automates capture session and send workflowNode.js 20+ (Node 24 recommended), the Claude Code CLI installed, and any of Windows, macOS, or Linux. No Python or separate ffmpeg is needed – both are bundled.
Three options: (A) Claude Code plugin: `/plugin install github:adityaO5/video-to-claude`; (B) npm: `claude mcp add video-to-claude --scope user -- npx video-to-claude-mcp`; (C) clone and build from GitHub, then register the MCP server.
Video: `.mp4`, `.mov`, `.webm`, or any common format. Captured images are WebP, target ≤2 MB per frame (hard cap 5 MB), max width 960 px. Practical limit ~20 frames before auto-downscale; soft cap ~100 frames.
It exposes two tools: `start_capture_session` (starts dev server, creates session, opens browser) and `await_capture` (polls until user clicks Send, returns annotated WebPs). The `/vtc` slash command calls both in sequence automatically.

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