A
license-
qualityD
maintenanceEnables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.
13
45
Apache 2.0
74,176 servers. Updated
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"YouTube MCP integration with Cursor AI" matching MCP servers:
- Alicense-qualityDmaintenanceA Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.13MIT
- AlicenseAqualityAmaintenanceA 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.72MIT
- AlicenseAqualityAmaintenanceMCP 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.64MIT
- AlicenseAqualityDmaintenanceA powerful MCP server for summarizing YouTube videos with transcript fetching, intelligent summarization, key point extraction, and metadata retrieval.4MIT
- AlicenseAqualityCmaintenanceAn 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.1050Apache 2.0
- AlicenseAqualityCmaintenanceUses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.812,627541MIT
- AlicenseAqualityCmaintenanceA Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.54MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables retrieval of transcripts from YouTube videos with language-specific support.18681MIT
- AlicenseBqualityDmaintenanceMCP (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.4166MIT
- AlicenseBqualityDmaintenanceEnables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.1145MIT
- AlicenseCqualityDmaintenanceBridges YouTube API and AI assistants, enabling video analysis by downloading and processing closed captions to create summaries of YouTube videos.120MIT
- Alicense-qualityDmaintenanceAutomatically extracts subtitles, captures screenshots at specified timestamps, and generates structured Obsidian markdown notes from YouTube videos using Claude AI.3MIT
- Alicense-qualityDmaintenanceExtracts captions, metadata, and descriptions from YouTube videos to enable AI assistants to summarize their content.11MIT
- Alicense-qualityCmaintenanceA local MCP server that generates bilingual (English + Traditional Chinese) study-oriented HTML summaries from YouTube URLs, including key points, quiz, and timestamped transcript.MIT
- Alicense-qualityDmaintenanceEnables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.49065MIT
- Flicense-qualityDmaintenanceMCP server for YouTube video summarization via Whisper transcription, enabling summarization and transcript retrieval without relying on subtitles.
- Flicense-qualityDmaintenanceEnables YouTube data crawling and AI-powered summarization of videos, including channel metadata retrieval, time-range queries, and automatic transcription with multi-language support.
- Flicense-qualityDmaintenanceEnables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.3
- Flicense-qualityDmaintenanceEnables LLMs to interact with YouTube videos by fetching transcripts, summarizing content, and answering questions based on video context.