Y

Youtube MCP

YouTube video analysis MCP service, providing transcription extraction, content summarization, and AI query functions
2.5 points
26

What is YouTube MCP?

YouTube MCP is an AI-based video analysis tool that helps you quickly obtain subtitles of YouTube videos, generate content summaries, and get key information from videos by asking questions in natural language.

How to use YouTube MCP?

You can use various functions of YouTube MCP through simple API calls or command-line tools without writing complex code.

Use cases

Suitable for scenarios such as researchers quickly obtaining key points of video content, students organizing study materials, and content creators analyzing popular videos.

Main features

Subtitle extractionAutomatically obtain the complete subtitle text of YouTube videos
Content summarizationUse Gemini AI to generate a concise summary of video content
Intelligent Q&AGet specific information from videos by asking questions in natural language
Video searchSearch for relevant YouTube videos based on keywords
Comment analysisObtain and analyze video comment content

Advantages and limitations

Advantages
Obtain key information without manually watching the entire video
Support natural language interaction, simple and intuitive to use
Integrate the advanced analysis capabilities of Google Gemini AI
Limitations
Require YouTube API and Gemini API keys
Support for non-English videos may be limited
Depend on the quality of video subtitles

How to use

Installation
Install via Smithery with one click or manually set up the local environment
Configure API keys
Add your Gemini and YouTube API keys to the.env file
Start the service
Run the MCP server to start using various functions

Usage examples

Quickly understand the content of long videosGet a summary of key knowledge points directly without watching a one-hour teaching video
Find specific informationQuickly locate the time point when a certain topic was discussed in a meeting recording

Frequently Asked Questions

Do I need programming experience to use it?
Which languages of videos are supported?
How to handle videos without subtitles?

Related resources

GitHub repository
Project source code and latest updates
Gemini API documentation
Official documentation of Google Gemini AI
YouTube API documentation
Official guide of YouTube Data API
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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
276
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
244
4.2 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
376
4 points
M
MCP Youtube
Download YouTube subtitles via yt - dlp and connect to Claude.ai through the MCP protocol for video content analysis
TypeScript
366
4 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
1.7K
5 points
S
Supermemory
Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.
TypeScript
9.5K
5 points
A
Ableton Live
AbletonMCP is an integration tool that connects Ableton Live and Claude AI. It enables two - way communication via the Model Context Protocol (MCP), allowing AI to directly control and operate Ableton Live for music creation and production.
Python
1.6K
5 points
S
Sequential Thinking MCP Server
A structured thinking server based on the MCP protocol that helps break down complex problems and generate summaries by defining thinking stages
Python
255
4.5 points
Featured MCP Services
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
827
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
85
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
1.7K
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
140
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#
563
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
6.7K
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
752
4.8 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
282
4.5 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase