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Connect YouTube to AI workflows for search, transcripts, metadata, and analytics.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "YouTube MCP Server" yet — see the docs or source repo.
Get the full transcript, timeline chapters, and video metadata for this YouTube video, then turn them into a structured summary highlighting the topic, key points, and important timestamps: <video URL>
Returns the transcript, chapter list, core metadata, and a readable structured content summary.
Search YouTube videos related to "AI coding tools," find strong-performing content from the last 30 days, extract channel info, views, comment counts, and recurring themes, then summarize the content trends.
Returns a list of relevant high-performing videos, channel and engagement metrics, plus a summary of recent topic trends.
Analyze the comments, most-replayed segments, SponsorBlock markers, and engagement signals for this YouTube video to identify the most engaging moments and the parts that may cause drop-off: <video URL>
Returns an engagement hotspot analysis with top moments, audience feedback themes, and optimization suggestions.
Let AI search, analyze, and work with YouTube videos, transcripts, channels, and playlists.
Extract YouTube transcripts, timestamps, metadata, and export them as files.
Extract YouTube transcripts, comments, and channel data for AI analysis workflows.
Let AI agents manage YouTube channels, content, comments, and analytics.
Access YouTube data via MCP for channels, videos, playlists, and captions.
Fetch YouTube transcripts and metadata with multi-backend audio transcription.