YouTube FAQs

Name: YouTube
Author: kirbah

Question 1

What types of YouTube data can I retrieve using this server?

Accepted Answer

You can access a comprehensive range of YouTube data including detailed video metadata and statistics, search results for videos and channels, multi-language transcripts, channel statistics, top-performing videos, trending content, and lists of video categories, all optimized for AI consumption.

Question 2

How does this tool help reduce token consumption for LLMs?

Accepted Answer

The server is engineered to return lean, precisely structured data by default. This minimizes overhead, ensuring your LLM prompts and responses use fewer tokens, leading to cost savings and improved performance for AI applications.

Question 3

Is a YouTube API key required to use @kirbah/mcp-youtube?

Accepted Answer

Yes, a YouTube Data API v3 Key is essential for the server to function. You will need to obtain one from the Google Cloud Console and configure it within your MCP client or server environment.

Question 4

Can this server help me manage my YouTube API quota usage?

Accepted Answer

Yes, it can. By optionally integrating with MongoDB for caching API responses, the server significantly improves performance and reduces your YouTube Data API quota consumption. Additionally, the `getTranscripts` tool has zero API cost.

Question 5

What is @kirbah/mcp-youtube and its primary purpose?

Accepted Answer

@kirbah/mcp-youtube is a Model Context Protocol (MCP) server designed to provide token-optimized, structured data from the YouTube Data API v3 specifically for Large Language Models (LLMs). Its main goal is to reduce token consumption and improve the efficiency of LLM applications interacting with YouTube data.

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