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YouTube MCP Server

@MCP-Mirror

Repository

Basic information

Category

Media & Design

Transports

stdio

Author

MCP-Mirror

About YouTube MCP Server

Mirror of

#youtube#mcp-server#ai-integration

YouTube MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "ZubeidHendricks_youtube-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@modelcontextprotocol/server-youtube",
        "--client",
        "claude"
      ]
    }
  }
}

YouTube MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is YouTube MCP Server?

A Model Context Protocol (MCP) server implementation for YouTube, enabling AI language models to interact with YouTube content through a standardized interface. It is designed for developers building AI applications that need to access YouTube data, transcripts, channels, and playlists.

How to use YouTube MCP Server?

Install via npm or automatically via Smithery. Set the YOUTUBE_API_KEY environment variable with your YouTube Data API v3 key, and optionally YOUTUBE_TRANSCRIPT_LANG (defaults to 'en'). Add the server configuration to your MCP client (e.g., Claude Desktop) using the provided JSON format.

Key features of YouTube MCP Server

  • Get video details (title, description, duration, etc.)
  • Retrieve video transcripts with timestamped captions
  • Support for multiple transcript languages
  • List and search channel videos and playlists
  • Get video and channel statistics (views, likes, comments)
  • Search across YouTube videos, channels, and playlists

Use cases of YouTube MCP Server

  • Fetch video details and transcripts for AI analysis or summarization
  • Search YouTube for specific content and retrieve structured results
  • Manage and search channel and playlist contents programmatically
  • Build conversational AI that answers questions based on video transcripts

Frequently asked questions

1

How do I get a YouTube API key?

Go to the Google Cloud Console, create a new project (or select an existing one), enable the YouTube Data API v3, and create API credentials (an API key). Copy the key for configuration.

2

How do I install YouTube MCP Server?

Install via npm with `npm install @modelcontextprotocol/server-youtube` or automatically via Smithery using the command `npx -y @smithery/cli install @modelcontextprotocol/server-youtube --client claude`.

3

Can I use multiple languages for transcripts?

Yes, the server supports multiple languages. You can specify a default language with the `YOUTUBE_TRANSCRIPT_LANG` environment variable (defaults to 'en').

4

How do I configure YouTube MCP Server for my MCP client?

Add a `youtube` entry under `mcpServers` in your client configuration with the command `npx -y @modelcontextprotocol/server-youtube` and the `YOUTUBE_API_KEY` in the `env` object.

5

What is the default language for transcripts?

The default language for transcripts is English ('en'), set via the optional `YOUTUBE_TRANSCRIPT_LANG` environment variable.

Comments

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