kirbah/mcp-youtube
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The YouTube Data MCP Server (@kirbah/mcp-youtube) is a high-efficiency server designed to provide token-optimized, structured data from YouTube for use with AI language models.
Tools
Functions exposed to the LLM to take actions
getVideoDetails
Retrieves detailed, lean information for multiple YouTube videos including metadata, statistics, and content details.
searchVideos
Searches for videos or channels based on a query string with various filtering options, returning concise results.
getTranscripts
Retrieves token-efficient transcripts for multiple videos. Note: Currently non-functional due to YouTube changes.
getChannelStatistics
Retrieves lean statistics for multiple channels including subscriber count, view count, and video count.
getTrendingVideos
Retrieves a list of trending videos for a given region and optional category, with lean details and engagement ratios.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client