%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 Youtube Subtitles Extractor
This is a YouTube subtitle extraction server project based on the MCP protocol, providing local and remote deployment functions. It supports connecting to the MCP host/client through tools such as VS Code or MCP Inspector to achieve video subtitle extraction and processing.
rating : 2.5 points
downloads : 6.0K
What is YouTube Subtitles Extractor?
This is a service based on the Model Context Protocol (MCP) that can automatically extract subtitle text from YouTube videos. Users only need to provide the video link, and the service will return a list of available subtitle languages and the specific subtitle content.How to use this service?
You can connect to the service through the VS Code plugin or the MCP Inspector web tool. After entering the YouTube video link, the service will guide you through the subtitle acquisition process.Applicable scenarios
Suitable for scenarios where you need to quickly obtain YouTube video subtitles for content analysis, translation, or summary generation. It is especially suitable for researchers, content creators, and language learners.Main features
Multi - language support
Automatically detect all subtitle languages supported by the video, and users can select a specific language to obtain subtitles
Local/Remote deployment
Supports running in a local development environment or deploying to Azure cloud services
MCP protocol integration
Integrate with various client tools through the standard MCP protocol, such as VS Code and MCP Inspector
Advantages
No need to manually download subtitles, the acquisition process is automated
Supports multiple integration methods, flexibly adapting to different workflows
The cloud - deployed version can be accessed anytime and anywhere
Limitations
Depends on the availability of YouTube subtitles, and videos without subtitles cannot be processed
Requires an internet connection to access the service
The cloud - deployed version requires an Azure subscription
How to use
Prepare the development environment
Install.NET 9 SDK, VS Code, and related extensions
%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)
Run the service locally
Start the function application in the project directory
Connect to the client
Use VS Code or MCP Inspector to connect to the local or remote service
Usage examples
Video content summary
Automatically generate a video content summary by obtaining English subtitles
Multi - language subtitle analysis
Compare the subtitle content of the same video in different languages
Frequently Asked Questions
Why can't I get subtitles for some videos?
How to choose the deployment method?
What subtitle formats are supported?
Related resources
GitHub repository
Project source code and examples
Azure Functions documentation
Official documentation for Azure Functions
MCP protocol introduction
Official website of the Model Context Protocol
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
23.6K
5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.0K
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
44.5K
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
30.3K
4.8 points
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