"YouTube Shorts" 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 semantic search across thousands of indexed educational YouTube videos covering topics like engineering, marketing, and strategy. It allows users to query insights from top creators directly through Claude Code using the Model Context Protocol.

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.

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.

A simple MCP server that provides tools for adding numbers, creating text files, and logging entries.

Domain-Driven MCP server for ed-tech workflows, exposing validated MCP tools backed by LangGraph agents, Supabase document retrieval, web search, and YouTube video discovery.

Enables offline planning of cited anime knowledge video shorts and original romance chapter series via a stdio MCP interface.

Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs interactive quizzes with FSRS spaced-repetition scheduling so the material actually sticks. Every tool maps one-to-one to something a real learner does: ingest, quiz, track progress, review what's due.

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.

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

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.

Enables Claude users to turn lecture PDFs, PowerPoint and Word files, photos of notes, pasted text, and YouTube videos into Anki flashcard decks (basic, cloze, and image occlusion) with the exact quote and page on every card. Finished decks can be reviewed, edited, and downloaded as .apkg or CSV files for Anki, AnkiMobile, and AnkiDroid.

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

Enables transcription, search, and lesson generation from podcast and YouTube URLs directly inside Claude Code.

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

Generates personalized learning paths by integrating with YouTube, Google Drive, and Notion to create comprehensive learning experiences based on user goals.

Enables Claude Code and Cowork to act as a personal coach grounded in a locally indexed library of YouTube talks, websites and PDF books, answering with exact-second, paragraph or page citations and recalling the user's goals and decisions per Project. Search, memory and the usage log run on the user's own machine, and changing Sources rebuilds the knowledge base without any fine-tuning.