Overview

The YouTube MCP Server enables AI language models to interact with YouTube content through a standardized interface. It provides a comprehensive set of tools for managing and analyzing YouTube videos, channels, and playlists.

Created by:

Developed by Zubeid Hendricks

Key Features

🎥

Video Information

Get video details (title, description, duration, etc.), list channel videos, get video statistics (views, likes, comments), search videos across YouTube.

📝

Transcript Management

Retrieve video transcripts, support for multiple languages, get timestamped captions, search within transcripts.

📺

Channel Management

Get channel details, list channel playlists, get channel statistics, search within channel content.

▶️

Playlist Management

List playlist items, get playlist details, search within playlists, get playlist video transcripts.

Available Tools

Quick Reference

Tool	Purpose	Category
`videos.getVideo`	Get details of a specific video	Video
`videos.searchVideos`	Search for videos on YouTube	Video
`transcripts.getTranscript`	Retrieve video transcripts	Transcript
`channels.getChannel`	Get details of a specific channel	Channel
`channels.listVideos`	List videos from a channel	Channel
`playlists.getPlaylistItems`	List items in a playlist	Playlist
`playlists.getPlaylist`	Get details of a specific playlist	Playlist

Detailed Usage

videos.getVideo▶

Get details of a specific video by its ID.

use_mcp_tool({
  server_name: "youtube",
  tool_name: "videos.getVideo",
  arguments: {
    videoId: "VIDEO_ID"
  }
});

videos.searchVideos▶

Search for videos on YouTube with a given query.

use_mcp_tool({
  server_name: "youtube",
  tool_name: "videos.searchVideos",
  arguments: {
    query: "search term",
    maxResults: 10
  }
});

transcripts.getTranscript▶

Retrieve the transcript for a given video ID and language.

use_mcp_tool({
  server_name: "youtube",
  tool_name: "transcripts.getTranscript",
  arguments: {
    videoId: "VIDEO_ID",
    language: "en"
  }
});

channels.getChannel▶

Get details of a specific YouTube channel by its ID.

use_mcp_tool({
  server_name: "youtube",
  tool_name: "channels.getChannel",
  arguments: {
    channelId: "CHANNEL_ID"
  }
});

channels.listVideos▶

List videos from a specific YouTube channel.

use_mcp_tool({
  server_name: "youtube",
  tool_name: "channels.listVideos",
  arguments: {
    channelId: "CHANNEL_ID",
    maxResults: 50
  }
});

playlists.getPlaylistItems▶

List items (videos) within a specific YouTube playlist.

use_mcp_tool({
  server_name: "youtube",
  tool_name: "playlists.getPlaylistItems",
  arguments: {
    playlistId: "PLAYLIST_ID",
    maxResults: 50
  }
});

playlists.getPlaylist▶

Get details of a specific YouTube playlist by its ID.

use_mcp_tool({
  server_name: "youtube",
  tool_name: "playlists.getPlaylist",
  arguments: {
    playlistId: "PLAYLIST_ID"
  }
});

Installation

{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": [
        "-y",
        "zubeid-youtube-mcp-server"
      ],
      "env": {
        "YOUTUBE_API_KEY": "your_youtube_api_key_here"
      }
    }
  }
}

Sources

Elasticsearch MCP Server

Elasticsearch MCP servers enable AI models to interact with Elasticsearch, providing capabilities for searching documents, analyzing indices, and managing clusters.

Content and Media MCP Servers

Explore seamless integration with leading content management systems, media processing tools, and digital asset management platforms through our Content & Media category. These integrations enable robust content creation, media processing, and asset management for your AI-powered applications.

PostHog MCP Server: AI-Powered Analytics & Feature Flags

PostHog MCP server enables AI models to interact with PostHog analytics for project management, annotations, feature flags, and error analysis.

YouTube Research MCP Server