Youtube DLP MCP Server is a Model Context Protocol (MCP) server designed to let AI agents interact with YouTube videos without downloading them. It exposes MCP-compliant tools to fetch video metadata, subtitles, and top comments for a given YouTube URL. The server uses yt-dlp under the hood to retrieve detailed video information (title, views, likes, description, etc.), to download subtitles including manual transcripts and auto-generated captions, and to fetch top comments sorted by likes with creator badges. Proxy support is built in, allowing use through HTTP/HTTPS or SOCKS proxies by configuring the PROXY_URL environment variable. Built with asyncio, the server provides fast, non-blocking operations and straightforward integration for AI assistants via the standard MCP protocol. Install options include uvx, pip, or running from source, with example commands and testing guidance via MCP Inspector and manual Python snippets. Required dependencies include Python 3.11+, yt-dlp, and the MCP framework, making it suitable for developers building MCP-enabled tools that access YouTube data efficiently without local downloads.