"A tool for creating YouTube Music playlists" matching MCP servers:

Enables fetching, searching, and summarizing YouTube video transcripts with multi-language support.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.

MCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.

An MCP server for intelligent YouTube video analysis that provides token-optimized summaries, sentiment analysis, and entity extraction from transcripts. It enables AI assistants to perform video reporting, channel monitoring, and comprehensive YouTube searches through structured data tools.

A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.

Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.

A Model Context Protocol server that enables retrieval of transcripts from YouTube videos with language-specific support.

MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.

Enables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.

Bridges YouTube API and AI assistants, enabling video analysis by downloading and processing closed captions to create summaries of YouTube videos.

Provides MCP tools for fetching timestamped YouTube transcripts and top comments, scanning spreadsheets for video links, and a local web UI for grounded video summaries.

A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.

Allows AI agents to fetch, search, and summarize YouTube video transcripts without an API key, including chapter summaries.

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 language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.

MCP server for YouTube video summarization via Whisper transcription, enabling summarization and transcript retrieval without relying on subtitles.

A universal MCP tool gateway that manages multiple remote tool processes, enabling LLMs to dynamically invoke web scraping, summarization, and knowledge retrieval through standardized Function Calling.

Enables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.

Enables LLMs to interact with YouTube videos by fetching transcripts, summarizing content, and answering questions based on video context.