This MCP server enables users to extract subtitles from YouTube links. It supports local and remote server setups, allowing integration with MCP tools for automated subtitle retrieval in various workflows.
This MCP server enables users to extract subtitles from YouTube links. It supports local and remote server setups, allowing integration with MCP tools for automated subtitle retrieval in various workflows.
This MCP (Machine Communication Protocol) server is designed to extract subtitles from given YouTube video links. It supports both local and cloud deployments, facilitating automation in applications that require subtitle data. Users can connect via MCP clients, run commands to fetch subtitles, and process the extracted data for further usage such as translation, transcription, or analysis. The server is built on Azure Functions and can be integrated seamlessly into larger systems, supporting multiple languages and easy configuration, making it suitable for developers, research projects, and media management workflows.
Who will use YouTube Subtitles Extractor MCP?
Developers
Media content creators
Research analysts
Automation engineers
Educational platforms
How to use the YouTube Subtitles Extractor MCP?
Step1: Clone or download the repository
Step2: Set up the environment (local or cloud deployment)
Step3: Run the Azure Function app locally or deploy to Azure
Step4: Connect a MCP client or inspector tool to the server
Step5: Send commands with YouTube links to extract subtitles
Step6: Review and process the retrieved subtitles
YouTube Subtitles Extractor MCP's Core Features & Benefits
The Core Features
Extract subtitles from YouTube links
Support for local and remote server configurations
Integration with MCP clients and inspectors
Supports multiple languages
Azure deployment options
The Benefits
Automates subtitle retrieval
Enhances media processing workflows
Supports scalable cloud deployment
Easy to connect and operate with MCP tools
Enables analysis and translation of subtitles
YouTube Subtitles Extractor MCP's Main Use Cases & Applications