Question 1

What is the YouTube MCP Server?

Accepted Answer

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.

Question 2

What are the key features of the YouTube MCP Server?

Accepted Answer

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.

Question 3

What is an MCP server?

Accepted Answer

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.

Question 4

How does the YouTube MCP Server integrate with UBOS?

Accepted Answer

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.

Question 5

What are the use cases for the YouTube MCP Server?

Accepted Answer

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

Question 6

What authentication methods are supported?

Accepted Answer

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

Question 7

How do I install the YouTube MCP Server?

Accepted Answer

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

Question 8

How do I configure the server?

Accepted Answer

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.

Question 9

How do I use the server?

Accepted Answer

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

Question 10

Can I customize the Markdown templates?

Accepted Answer

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

Question 11

What dependencies are required?

Accepted Answer

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

Question 12

How do I contribute to the project?

Accepted Answer

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

Question 13

Is OAuth2 required for all videos?

Accepted Answer

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

Question 14

What languages are supported for caption extraction?

Accepted Answer

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

Question 15

Where can I find my MCP settings file?

Accepted Answer

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

Question 16

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

Accepted Answer

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

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