"YouTube Music" matching MCP servers:

Enables AI models to interact with YouTube content through video search, channel information, transcripts, comments, trending videos, and content analysis tools including quiz and flashcard generation.

Evidence-first YouTube research server enabling search, transcript citation, video analysis, flashcards, and collateral generation for MCP hosts and VS Code.

Automatically extracts subtitles, captures screenshots at specified timestamps, and generates structured Obsidian markdown notes from YouTube videos using Claude AI.

A local MCP server that generates bilingual (English + Traditional Chinese) study-oriented HTML summaries from YouTube URLs, including key points, quiz, and timestamped transcript.

Enables AI assistants to extract educational content from YouTube videos by fetching timestamped transcripts and visually meaningful frames, returning them as base64 JPEGs for analysis.

Deterministic music-theory MCP server and API for AI agents — analyze chords, run Roman-numeral analysis, generate voicings, and reharmonize progressions. Computed from music theory, not hallucinated.

Render music notation from a JSON score to inline SVG (Verovio + Bravura), round-trippable MusicXML, and base64 MIDI in one call. Includes pre-flight validation with concrete fix suggestions and a curated music-theory knowledge search. Free, open, no auth, sponsored by Gradus School of Music Composition.

Enables AI assistants to generate interactive mind maps from text, YouTube videos, and web content using Mapify's API.

Extracts and summarizes learning content from YouTube videos, PDFs, and web articles to provide context for project-based learning. It features automated background processing and integrates with Forest's HTA builder for informed task generation.

An MCP server that enables natural language control of Steinberg Dorico music notation software through Claude Desktop or ChatGPT, offering tools for score creation, note input, notation, harmony analysis, and orchestration.

A multi-interface music analysis server providing MCP, HTTP, CLI, and Python interfaces for music21-based analysis.

AI-powered YouTube playlist to flashcards with spaced repetition (SM-2 algorithm). 18 tools for playlist management, semantic search, and Anki export.

Combines YouTube subtitle extraction, Wikipedia concept lookup, and arXiv paper search into one pipeline without any API keys, enabling generation of comprehensive study notes from a single YouTube URL.

Enables semantic search over transcribed C++ lecture fragments with clickable YouTube timestamps, allowing users to retrieve and cite specific moments from the videos.

Enables users to convert YouTube playlists and videos into structured lessons, analyses, frames, and quizzes using Google Gemini, with automatic model rotation and extraction from both audio and visuals.

An MCP server exposing @playbykey/theory as AI-callable music theory tools. Compute chords, scales, progressions, transpositions, and MIDI/frequency conversions instead of having your AI assistant guess at music theory from training data.

AI-powered MCP server that transforms learning by finding best YouTube tutorials, generating personalized learning paths, and tracking progress for any tech skill.

An MCP server that transforms YouTube educational videos into learning resources by extracting transcripts and generating summaries, notes, quizzes, and flashcards using AI.

Generate Knowledge Packs — summary, flashcards, quiz, transcript — from any YouTube video. Plus OAuth-gated library search, Q\&A, and Anki export.