Youtube MCP Server
Y

Youtube MCP Server

The YouTube MCP Server is a standardized interface implementation that allows AI language models to interact with YouTube content through protocols, providing functions such as video information retrieval, subtitle management, channel and playlist management.
3 points
10.7K

What is the YouTube MCP Server?

The YouTube MCP Server is a tool based on standard protocols that allows AI language models to access video, channel, and playlist content on YouTube through a unified interface. It supports functions such as getting video details, retrieving subtitles, searching for videos, and managing channels and playlists.

How to use the YouTube MCP Server?

First, you need to set up an API key and install the server. Then, you can use simple commands to query information about videos, channels, or playlists. For example, get the video title or download subtitles.

Use Cases

This server is very suitable for application scenarios where users want to leverage the rich content on YouTube for data analysis, automated content generation, or content recommendation.

Main Features

Video Information
Get detailed information about the video, such as title, description, duration, and statistics.
Subtitle Management
Support retrieval of multi - language subtitles, extraction of timestamped subtitles, and full - text search.
Channel Management
Get channel details, list playlists, and view channel statistics.
Playlist Management
List videos in a playlist, get playlist details, and support searching.
Advantages
Simplifies access to YouTube content through a standardized interface.
Supports subtitle extraction and search functions in multiple languages.
Easy to integrate into existing systems, such as AI models or desktop clients.
Limitations
Requires a valid YouTube API key to run.
Some advanced features may be affected by API quota limitations.

How to Use

Install the YouTube MCP Server
Install the server via NPM or use the Smithery plugin for automatic installation.
Configure Environment Variables
Set your YouTube API key and other necessary parameters.
Start Using
Call the API interfaces provided by the server through the MCP client.

Usage Examples

Get Video Details
Query the title, duration, and view count of a specific video.
Search for Related Videos
Search for popular videos based on keywords.

Frequently Asked Questions

How to get a YouTube API key?
Does it support subtitles in multiple languages?
Are there any usage restrictions for the server?

Related Resources

GitHub Repository
An open - source code repository containing the project source code and documentation.
YouTube API Documentation
Official YouTube API documentation to learn more about the functions.
Smithery Installation Guide
A tutorial for quickly installing the YouTube MCP Server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "youtube": {
      "command": "npx",
      "args": ["-y", "zubeid-youtube-mcp-server"],
      "env": {
        "YOUTUBE_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.2K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.0K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.5K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.1K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
8.4K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
8.9K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
9.1K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.3K
4.5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.9K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
32.2K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
63.5K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
22.8K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
59.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
28.0K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
20.7K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
43.1K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase