%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
MCP SERVER YOUTUBE
An MCP server designed for Claude Desktop that can obtain transcripts via YouTube video URLs, expanding the application scenarios of LLM functions.
rating : 2 points
downloads : 7.7K
What is the YouTube Transcript MCP Server?
This is a service specifically designed for Claude Desktop. Through the Model Context Protocol (MCP), it can automatically obtain the transcript content of any YouTube video. When you provide a video link, the large language model (LLM) can directly read the text content of the video.How to use the YouTube Transcript MCP Server?
Simply enter the YouTube video link in Claude Desktop, and the system will automatically obtain the transcript via the MCP protocol. No technical configuration is required, and it's as simple as using the ordinary chat function.Applicable scenarios
Suitable for scenarios that require analyzing YouTube video content, such as video content summarization, foreign language learning assistance, video content retrieval, and meeting minutes compilation.Main features
Automatic transcript retrieval
Automatically identify YouTube videos and obtain the complete transcript text, supporting multiple languages.
MCP protocol integration
Seamlessly integrate with Claude Desktop through the standard MCP protocol, providing a smooth user experience.
Zero-configuration usage
No technical settings are required. You can start using it immediately by entering the video link.
Advantages
Automatically obtain the complete content without manually copying and pasting the transcript.
Support most publicly available YouTube videos.
Deeply integrate with Claude, providing a natural user experience.
Fast processing speed and timely response.
Limitations
Only support videos on the YouTube platform.
Unable to obtain the content of videos without transcripts.
There may be a small number of recognition errors in the automatically generated transcripts.
How to use
Copy the YouTube video link
Find the target video on YouTube and copy the URL in the browser address bar.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Paste the link in Claude Desktop
Paste the link into the chat input box just like sending an ordinary message.
Add your request
Add your specific requirements after the link, such as requesting a summary, translation, or analysis.
Usage examples
Learning assistance
Obtain the complete transcript when watching foreign language teaching videos to assist language learning.
Content analysis
Quickly understand the core content of long videos and save viewing time.
Frequently Asked Questions
Is this service paid?
Why can't I obtain the transcript of some videos?
How accurate are the obtained transcripts?
Related resources
Official documentation of the MCP protocol
Understand the technical details of the Model Context Protocol.
YouTube Transcript API reference
The official YouTube documentation for the transcript API.
Usage tutorial video
A 10 - minute quick - start tutorial.
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
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
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
24.8K
5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.2K
4.3 points
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
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
44.6K
4.5 points
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
15.0K
4.5 points
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
29.4K
4.8 points