A Model Context Protocol (MCP) server that bridges Video & Audio content with Large Language Models using yt-dlp.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"yt-dlp-mcp": {
"command": "<see-readme>",
"args": []
}
}
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A powerful MCP server that brings video platform capabilities to your AI agents
No automated test available for this server. Check the GitHub README for setup instructions.
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A powerful MCP server that brings video platform capabilities to your AI agents
Integrate yt-dlp with Claude, Dive, and other MCP-compatible AI systems. Download videos, extract metadata, get transcripts, and more — all through natural language.
Features • Installation • Tools • Usage • Documentation
🔍 Search & Discovery
📊 Metadata Extraction
📝 Transcript & Subtitles
|
🎥 Video Downloads
🎵 Audio Extraction
🛡️ Privacy & Safety
|
Install yt-dlp on your system:
| Platform | Command |
|---|---|
| 🪟 Windows | winget install yt-dlp |
| 🍎 macOS | brew install yt-dlp |
| 🐧 Linux | pip install yt-dlp |
Add the following config to your MCP client:
{
"mcpServers": {
"yt-dlp": {
"command": "npx",
"args": ["-y", "@kevinwatt/yt-dlp-mcp@latest"]
}
}
}
Use the Claude Code CLI to add the yt-dlp MCP server (guide):
claude mcp add yt-dlp npx @kevinwatt/yt-dlp-mcp@latest
Add to your claude_desktop_config.json:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json{
"mcpServers": {
"yt-dlp": {
"command": "npx",
"args": ["-y", "@kevinwatt/yt-dlp-mcp@latest"]
}
}
}
Go to Cursor Settings -> MCP -> New MCP Server. Use the config provided above.
Install via the VS Code CLI:
code --add-mcp '{"name":"yt-dlp","command":"npx","args":["-y","@kevinwatt/yt-dlp-mcp@latest"]}'
Or follow the MCP install guide with the standard config from above.