What kind of video information can I access?

You can retrieve video titles, descriptions, durations, statistics (views, likes, comments), and transcripts in multiple languages with timestamps.

What does the YouTube MCP Server do?

It allows AI language models to interact with YouTube content via a standardized interface, providing access to video details, transcripts, channel data, and playlists.

How do I install the YouTube MCP Server?

You can install it either automatically using Smithery's CLI or manually via npm. You'll also need a YouTube Data API key.

What YouTube data can I manage with this tool?

The API allows you to manage videos (details, transcripts, search), channels (details, videos, playlists), and playlists (items, details, search).

Do I need a YouTube API key to use this?

Yes, you need a YouTube Data API key obtained from the Google Cloud Console to authenticate your requests.

YouTube

Name: YouTube
Author: MCP-Mirror

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Enables AI language models to interact with YouTube content through a standardized interface.

YouTube provides a Model Context Protocol (MCP) server implementation for YouTube, designed to allow AI language models to interact with YouTube content. It exposes a standardized interface to access video information, transcripts, channel details, and playlist data, allowing for seamless integration with MCP clients. The server supports functionalities like retrieving video details, searching videos, managing transcripts, accessing channel information, and managing playlists, making it a comprehensive tool for AI-driven YouTube content analysis and interaction.

Key Features

01Retrieves video details (title, description, duration, statistics)

02Enables searching videos, channels, and playlists

03Manages video transcripts with multi-language support and timestamps

041 GitHub stars

05Provides channel management features including details, videos, and playlists

06Supports playlist management including listing items and retrieving details

Use Cases

01Developing applications that leverage YouTube video transcripts for information extraction

02Building AI-powered tools for YouTube channel and playlist management

03Integrating YouTube content analysis into AI language model workflows