"YouTube MCP integration with Cursor AI" matching MCP servers:

Enables extraction of transcript text from YouTube videos by providing the video URL, supporting standard, shortened, and embed URL formats.

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

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 that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.

An MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.

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

Enables users to convert YouTube videos to MP3 format with optional trimming capabilities through the Youtube Mp36 API.

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

Enables downloading MP3 audio files from YouTube videos by providing a YouTube URL through the Youtube Mp310 API.

Enables AI assistants to watch YouTube videos by extracting frames at scene changes and visual references, pairing each frame with the exact words spoken at that timestamp. Provides dense frame-transcript interleaving for any model.

Enables MCP clients to manage multiple named YouTube accounts through one local stdio server, covering video upload and scheduling, metadata, captions, playlists, comments, live broadcasts and chat, channel branding, and analytics reporting via the official Google APIs. It also offers optional FFmpeg-based local media tools for probing, muxing audio, normalizing loudness, trimming, burning subtitles, and extracting thumbnails.

Enables AI agents to fetch transcripts, metadata, and download videos/audio from YouTube without API keys.

Enables AI models to extract transcripts from YouTube videos in multiple languages with zero local setup. It supports all YouTube URL formats and features smart caching via Cloudflare Workers for fast responses.

A local MCP server for extracting YouTube video transcripts, metadata, and performing visual analysis using Gemini Vision or local Whisper models. It enables users to process video content through various tools for subtitle retrieval and frame analysis.

- Upload videos to YouTube from MCP - Client(Claude/Cursor/VS Code) - OAuth2 authentication flow - Access token and refresh token management - Multi Channel Support

YouTube Content Extraction Service for the ME4 suite, enabling download, metadata, transcripts, and comments via MCP, HTTP, and ZMQ interfaces.

MCP server for YouTube that provides tools to fetch video metadata and transcripts, enabling natural language queries about YouTube videos.

MCP server that extracts YouTube video transcripts, supporting multiple languages and URL formats, for use with AI agents.

Enables AI agents to turn YouTube videos into downloadable audio files in formats like MP3, M4A, WAV, FLAC, and OGG (with optional clipping), and to retrieve existing captions as text, JSON, Markdown, SRT, or VTT. Uses your own RapidAPI key and supports job polling for longer conversions.

A comprehensive MCP server that provides Claude AI with full access to YouTube content, including searchable transcripts, metadata, comments, and playlists. It uniquely supports capturing video screenshots and extracting audio clips for analysis across both local and remote platforms.