Which AI tools can I use with Video Overlay Kit?
Any tool that speaks the Model Context Protocol — Claude Code, Cursor, Codex, Cline, OpenCode, and others.

@alichherawalla
基本情報
AI-driven animated b-roll overlay renderer for short-form video. Paste your script into your AI coding tool, the MCP server writes the scene spec and renders an mp4. Free, MIT, local.
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-overlay-kit": {
"command": "npx",
"args": [
"-y",
"@alichherawalla/video-overlay-kit"
]
}
}
}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 Overlay Kit renders animated b-roll overlay videos for short-form social media. It produces 4–6 second MP4s with real motion — icons popping in, list rows revealing one by one, flow arrows drawing between nodes, comparison sides sliding in, and hub nodes orbiting a centre. It outputs portrait (1080×1920) for LinkedIn, Instagram Reels, YouTube Shorts, and TikTok, and landscape (1920×1080) for YouTube; components reflow when the aspect ratio is flipped.
Drop Video Overlay Kit into any AI tool that speaks MCP — Claude Code, Cursor, Codex, Cline, OpenCode, etc. Paste your script into the chat, and the model reads it, picks icons from Tabler’s 5000+ set, decides which visual beat fits (flow diagram, comparison, list reveal, etc.), writes a validated scene spec, and renders the MP4. Install by adding the following JSON to your AI tool’s MCP config and running npx -y @alichherawalla/video-overlay-kit.
title-overlay, list-reveal, flow, comparison, hub, icon, text, lottielist_icons, validate_scene, render_sceneAny tool that speaks the Model Context Protocol — Claude Code, Cursor, Codex, Cline, OpenCode, and others.
The kit uses Tabler’s icon set, which contains over 5,000 icons.
No. It is free, MIT licensed, and has no per-render cost. No accounts are required.
Your script never leaves your machine unless the AI tool you are using sends it somewhere. That is between you and your AI tool.
The kit outputs portrait MP4s at 1080×1920 (optimized for short-form vertical platforms) and landscape MP4s at 1920×1080 (for YouTube). Components automatically reflow when the aspect ratio is flipped.

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