YouTube MCP Server
A Model Context Protocol (MCP) server for YouTube videos with caption extraction and markdown conversion capabilities
What is YouTube MCP Server?
what is YouTube MCP Server? YouTube MCP Server is a Model Context Protocol (MCP) server designed for interacting with YouTube videos, enabling users to extract video metadata and captions, and convert them into markdown format. how to use YouTube MCP Server? To use the YouTube MCP Server, clone the repository, install the dependencies, configure your YouTube credentials, and run the server to access its tools for video information and caption extraction. key features of YouTube MCP Server? Fetch comprehensive video metadata Extract auto-generated and manual captions Support for multiple languages (English and French) Three built-in markdown templates for different use cases Search functionality within video captions Flexible authentication options (API key and OAuth2) use cases of YouTube MCP Server? Extracting captions from YouTube videos for transcription purposes. Converting video metadata into markdown for documentation. Searching for specific terms within video captions for content analysis. FAQ from YouTube MCP Server? What programming language is YouTube MCP Server built with? The server is built using TypeScript. Do I need a YouTube Data API key to use this server? Yes, a YouTube Data API key is required for accessing video data. Can I customize the markdown templates? Yes, you can add custom templates by modifying the DEFAULT_TEMPLATES array in the source code.
As an MCP (Model Context Protocol) server, YouTube MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use YouTube MCP Server
To use the YouTube MCP Server, clone the repository, install the dependencies, configure your YouTube credentials, and run the server to access its tools for video information and caption extraction. key features of YouTube MCP Server? Fetch comprehensive video metadata Extract auto-generated and manual captions Support for multiple languages (English and French) Three built-in markdown templates for different use cases Search functionality within video captions Flexible authentication options (API key and OAuth2) use cases of YouTube MCP Server? Extracting captions from YouTube videos for transcription purposes. Converting video metadata into markdown for documentation. Searching for specific terms within video captions for content analysis. FAQ from YouTube MCP Server? What programming language is YouTube MCP Server built with? The server is built using TypeScript. Do I need a YouTube Data API key to use this server? Yes, a YouTube Data API key is required for accessing video data. Can I customize the markdown templates? Yes, you can add custom templates by modifying the DEFAULT_TEMPLATES array in the source code.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like YouTube MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like YouTube MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.