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by kyleselh • Media & Multimedia
An MCP server that lets language models access YouTube video, channel, playlist and transcript data through the YouTube Data API.
Fetch video metadata and statistics (title, description, duration, views, likes, comments) to provide context-aware responses or summaries.
Retrieve and search within video transcripts and timestamped captions across languages to extract quotes, topics, or precise timestamps.
Browse or search a channel's videos and playlists or aggregate playlist items for content discovery and recommendation workflows.
Provides a standardized Model Context Protocol (MCP) interface to retrieve video details, statistics, transcripts (including timestamped captions and multiple languages), channel and playlist data, and to perform searches across YouTube content. It is installable via Smithery or npm and integrates with MCP clients (e.g., Claude Desktop) by exposing endpoints that agents can call. The server requires a YOUTUBE_API_KEY environment variable and simplifies building agents that need to read, search, or fetch contextual information from YouTube without handling the API details directly.
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