Frequently Asked Questions (FAQ) - YouTube MCP Server

Q: What is the YouTube MCP Server?

A: The YouTube MCP Server is a Model Context Protocol (MCP) server that allows AI models to interact with YouTube videos. It extracts video metadata and captions, converts them to Markdown, and provides search functionality.

Q: What are the key features of the YouTube MCP Server?

A: Key features include video metadata retrieval, caption extraction (English and French), Markdown conversion with templating (Basic, Detailed, Search), flexible authentication (API key and OAuth2), and search functionality.

Q: What is an MCP server?

A: MCP stands for Model Context Protocol. An MCP server acts as a bridge, facilitating communication between Large Language Models (LLMs) and external data sources or tools. It standardizes how applications provide context to LLMs.

Q: How does the YouTube MCP Server integrate with UBOS?

A: The YouTube MCP Server seamlessly integrates with the UBOS platform through the MCP protocol. It allows UBOS-based AI agents to access and process video data from YouTube.

Q: What are the use cases for the YouTube MCP Server?

A: Use cases include content summarization and analysis, enhanced customer support, market research and competitive analysis, training and education, accessibility, and video SEO optimization.

Q: What authentication methods are supported?

A: The server supports both API key and OAuth2 authentication. OAuth2 is required for accessing private videos.

Q: How do I install the YouTube MCP Server?

A: Clone the repository, install dependencies using npm install, and build the project using npm run build.

Q: How do I configure the server?

A: Create a .env file in the root directory with your YouTube API key and/or OAuth2 credentials. Then, add the server to your MCP settings file.

Q: How do I use the server?

A: Use the provided tools to extract video info, get captions, convert to Markdown, and list available templates. Examples are in the documentation.

Q: Can I customize the Markdown templates?

A: Yes, you can customize the DEFAULT_TEMPLATES array in src/index.ts to create your own Markdown templates.

Q: What dependencies are required?

A: The server requires dependencies such as @modelcontextprotocol/sdk, googleapis, google-auth-library, youtube-captions-scraper, express, and open.

Q: How do I contribute to the project?

A: Fork the repository, create a feature branch, commit your changes, push to the branch, and open a pull request.

Q: Is OAuth2 required for all videos?

A: No, OAuth2 is only required for accessing private videos. Public videos can be accessed with an API key.

Q: What languages are supported for caption extraction?

A: Currently, English and French are supported. More languages may be added in the future.

Q: Where can I find my MCP settings file?

A: Typically, the file is located at ~/.config/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/cline_mcp_settings.json.

Q: Can the YouTube MCP server be used with other services besides UBOS?

A: Yes, the MCP server follows the Model Context Protocol so it can be used with other services that utilize the MCP standard.