Does yt-dlp-mCP require yt-dlp to be installed separately?
Yes. You must install yt‑dlp using `winget` (Windows), `brew` (macOS), or `pip` (Linux) before using the server.
@kevinwatt
基本信息
A Model Context Protocol (MCP) server that bridges Video & Audio content with Large Language Models using yt-dlp.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"yt-dlp": {
"command": "npx",
"args": [
"-y",
"@kevinwatt/yt-dlp-mcp@latest"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
yt-dlp-mcp is a Model Context Protocol server that integrates yt-dlp with MCP-compatible AI systems like Claude and Dive. It lets you search videos, download content, extract metadata, get transcripts, and more — all through natural language commands.
Install yt‑dlp on your system first, then add the npx configuration to your MCP client. Tools are prefixed with ytdlp_ and are invoked by the AI agent based on natural language prompts. Environment variables let you customize downloads directory, default resolution, subtitle language, and character limits.
Yes. You must install yt‑dlp using `winget` (Windows), `brew` (macOS), or `pip` (Linux) before using the server.
Configure cookies by setting the `YTDLP_COOKIES_FROM_BROWSER` environment variable (e.g., `chrome`) or providing a cookie file path. This requires a JavaScript runtime (deno) to be installed.
Downloads are saved to `~/Downloads` by default. You can change the directory via the `YTDLP_DOWNLOADS_DIR` environment variable.
Yes. The server enforces a default character limit of 25,000 for outputs and a maximum transcript length of 50,000 characters, both adjustable via environment variables.
The server does not perform any tracking or analytics. All downloads happen directly via yt‑dlp, and inputs are validated with Zod schemas for LLM safety.

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