"Tools or methods to search and analyze YouTube videos" matching MCP servers:

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

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.

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

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.

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

An AI-powered study assistant that generates quizzes, flashcards, summaries, and concept explanations from study materials using the Model Context Protocol.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools for research workflows and OpenAI Deep Research integration.

Enables searching across UMass Lowell domain for people, website content, places, news, and parsing URLs into markdown.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools compatible with OpenAI Deep Research and ChatGPT connectors.

Provides Latin NLP tools for tokenization, lemmatization, POS tagging, reported speech detection, and LiLa Knowledge Base querying via MCP.

Enables accurate Quranic verse search through natural language queries, returning exact text with no hallucinations.

A local MCP study assistant that explains topics, creates study plans, and generates revision checklists through the Model Context Protocol.

Enables AI clients to search BUPT byrdocs materials, past exam papers, and freshmen knowledge base via natural language.

Enables a study assistant to explain topics, build study plans, and generate revision checklists, with read-only access to course outline and status resources.

A server for querying, practicing, and analyzing exam questions from Taiwan's national examinations, offering 20 tools including search, statute lookup, weak topic review, and readiness assessment.

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

A set of tools enabling AI agents to interact with Canvas LMS, allowing users to find relevant resources, get course information, and navigate modules through natural language queries.

Provides structured MCP tools for querying college database records, including student profiles, course details, enrollments, faculty teaching assignments, and academic statistics.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.