What is the YouTube MCP Server?

The YouTube MCP Server is a Model Context Protocol (MCP) server implementation that allows AI language models to interact with YouTube content through a standardized interface.

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. It acts as a bridge, allowing AI models to access and interact with external data sources and tools.

What key features does the YouTube MCP Server offer?

The server provides video information retrieval, transcript/caption management, channel analysis, and trend analysis, allowing AI agents to understand video content, analyze engagement, track trending topics, access transcripts, and monitor channel performance.

What tools are available within the YouTube MCP Server?

The server includes tools like getVideoDetails, searchVideos, getTranscripts, getRelatedVideos, getChannelStatistics, getChannelTopVideos, getVideoEngagementRatio, getTrendingVideos, and compareVideos.

How do I install the YouTube MCP Server?

You can install it automatically via Smithery or manually using npm or Git. The automatic installation command is npx -y @smithery/cli install @icraft2170/youtube-data-mcp-server --client claude.

What environment variables do I need to configure?

You need to set the YOUTUBE_API_KEY with your YouTube Data API key and optionally YOUTUBE_TRANSCRIPT_LANG for the default caption language.

How do I get a YouTube Data API key?

You need to access Google Cloud Console, create a new project or select an existing one, enable YouTube Data API v3, and create API credentials (API key).

What is UBOS, and how does it relate to the YouTube MCP Server?

UBOS is a full-stack AI Agent Development Platform that simplifies the process of orchestrating AI agents, connecting them with enterprise data, and building custom AI agents. It integrates seamlessly with the YouTube MCP Server.

What are some use cases for the YouTube MCP Server?

Use cases include marketing and advertising, market research, education and training, content creation, and media monitoring, enabling AI agents to optimize campaigns, gauge consumer sentiment, curate content, generate ideas, and track online reputation.

What are the system requirements for the YouTube MCP Server?

The server requires Node.js 18.0.0 or higher.