Youtube MCP Server
Y

Youtube MCP Server

The YouTube MCP Server is a service that interacts with YouTube data through a standard interface, providing query and analysis functions for videos, channels, comments, and subtitles.
2.5 points
5.4K

What is the YouTube MCP Server?

The YouTube MCP Server is a tool based on the Model Context Protocol (MCP) for obtaining information about YouTube videos, channels, comments, and subtitles. It helps users quickly analyze and summarize YouTube content.

How to use the YouTube MCP Server?

You can use it by installing the server and running queries in the command line. It supports various functions such as searching for videos, obtaining statistical information, and generating subtitle summaries.

Applicable Scenarios

Suitable for professionals who need to analyze YouTube content in batches, such as content creators, market researchers, and educators.

Main Features

Video Search
Search for YouTube videos based on keywords and other filtering conditions.
Video Statistics
Obtain statistical information such as the number of views and likes for a specific video.
Video Comparison
Compare the statistical data of multiple videos.
Trending Videos
Get trending videos divided by region and category.
Key Moments
Extract key moments from video subtitles and generate timestamps.
Advantages
Supports multi - language subtitle extraction
Powerful data analysis capabilities
Easy to integrate into existing systems
Limitations
Requires a valid YouTube API key
Some advanced features may require more computing resources

How to Use

Install the YouTube MCP Server
Install the server via npm or Docker.
Configure the API Key
Add your YouTube API key to the.env file.
Start the Server
Run the npm start command to start the server.

Usage Examples

Get Video Statistical Information
Obtain statistical information such as the number of views and likes for a specific video.
Get Trending Videos
Get trending videos divided by region and category.
Generate Subtitle Summary
Generate a summary from the subtitles of a specific video.

Frequently Asked Questions

How to install the YouTube MCP Server?
What dependencies are required?
How to obtain a YouTube API key?

Related Resources

YouTube MCP Server Documentation
GitHub repository address.
YouTube Data API
Official YouTube API documentation.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
9.2K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.9K
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
10.7K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
12.5K
4 points
V
Video Editing MCP
Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.
Python
12.9K
4 points
B
Bilibili MCP Js
Certified
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
TypeScript
15.6K
4.2 points
M
MCP Youtube
Download YouTube subtitles via yt - dlp and connect to Claude.ai through the MCP protocol for video content analysis
TypeScript
11.0K
4 points
F
Firecrawl MCP Server
The Firecrawl MCP Server is a Model Context Protocol server integrating Firecrawl's web - scraping capabilities, providing rich web - scraping, searching, and content - extraction functions.
TypeScript
64.4K
5 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
16.6K
4.3 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
14.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.0K
4.3 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
23.6K
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#
19.2K
5 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
44.5K
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
30.3K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase