"YouTube" matching MCP servers:

Enables an MCP-capable app to search, play and control the YouTube Music session the user is already signed in to in their own browser — playing songs or saved playlists, choosing from a full result list, skipping and pausing playback, and reading what is currently playing — with no API keys, separate profile or screenshots.

Exposes public YouTube data — transcripts with timestamps and language listings, keyword search, video metadata and statistics, comments, channels, channel uploads, and categories — as read-only tools an LLM can call over stdio. It runs as a single local process using only a YouTube Data API key, with SQLite caching, quota tracking, and no OAuth or account access.

Enables AI agents to retrieve YouTube transcripts, video info, channel video lists, and monitor channels for new uploads, with built-in prompt templates for summaries and industry signals—all without an API key.

MCP server connector for YouTube — search videos, manage playlists, subscriptions, and watch history via Playwright browser automation.

An MCP server for YouTube automation using Playwright and Gemini AI agent. Enables browser control for YouTube operations like searching, playing videos, skipping ads, and managing playback through natural language commands.

This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.

An MCP server that uses Puppeteer and headless Chrome to scrape YouTube transcripts directly from the video page UI. It provides tools for fetching plain text transcripts, timed segments with deep links, and video metadata while bypassing standard API rate limits.

An MCP server that allows AI models to control YouTube Music playback through Google Chrome by searching and playing songs using song and artist names.

14 tools for AI agents: transcript extraction in five formats with adjustable segment size, video metadata, video and channel search, channel browsing, in-channel search, playlists, and an asynchronous batch job for up to 4,000 transcripts. Free tier: 100 credits on signup, no card.

A comprehensive MCP server for extracting YouTube video transcripts with support for multiple transports, languages, and output formats.

Enables retrieval of YouTube video titles and transcripts/subtitles through an MCP interface backed by a headless Playwright browser, with optional persistent login/session and stdio or HTTP streaming transports.

Enables web search, scraping, and YouTube transcript extraction via DuckDuckGo and Playwright, with persistent browser profile for authentication.

Enables AI agents to fetch and digest content from 30+ platforms (Twitter, YouTube, Reddit, etc.) via a unified API. Supports multi-format output, transcription, and direct Obsidian sync.

Gives AI assistants direct access to RTBrick's website, technical documentation, and YouTube training videos with no API key required.

Provides web search with content extraction, YouTube subtitles, and optional LLM summarization for AI assistants.

An extended, self-hosted web research server for MCP-compatible clients that provides tools for web search, page fetching, JavaScript rendering, Internet Archive snapshots, and YouTube transcripts.

Provides 13 internet platforms as MCP tools for AI agents, enabling read, search, and interaction with services like web, YouTube, Twitter, and Reddit via a production-grade MCP server.

Enables AI agents to download high-quality videos from platforms like YouTube, Bilibili, Douyin, TikTok, and Instagram, with tools for querying media info, downloading, batch processing, cookie management, and environment checks.

Remote MCP server for web scraping with anti-bot evasion. Provides stealth HTTP fetching, headless browser with Cloudflare bypass, CSS selectors, YouTube transcripts, and Markdown conversion.

Enables Google and YouTube search and YouTube video data extraction using real browser cookies, with no API keys required.

Enables agents and humans to fetch YouTube transcripts, search within them, inspect video metadata, and monitor channel uploads through bounded, resumable MCP tools.

14 web scrapers as MCP tools for AI agents: Reddit, Amazon, Google Maps, Yelp, YouTube, Indeed & more.

Enables advanced web crawling and content extraction with JavaScript support, AI-powered analysis, PDF/Office document processing, YouTube transcript extraction, Google search integration, and multi-format data export capabilities.

Enables users to fetch YouTube video transcripts via a single MCP tool, with support for multiple languages and OAuth-protected access.

Enables AI assistants to run searches across Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay and other engines, returning structured results such as weather, stock and news data in JSON or Markdown.

Enables AI agents to perform anti-bot web scraping, dynamic SPA rendering, YouTube transcript extraction, and deep OSINT/GEOINT intelligence gathering through 23 integrated tools.

Provides 19 tools for web search, content fetching, and extraction, including DuckDuckGo search, YouTube transcripts, and webpage screenshots.

Enables searching across multiple search engines (Google, Bing, YouTube, DuckDuckGo, etc.) and retrieving parsed search results via SerpApi integration.

An All-in-One Model Context Protocol Server Package that integrates 14 MCP servers (including YouTube, GitHub, Figma, databases) into a single Docker container for use with Claude.

Enables AI assistants to list YouTube subscriptions and unsubscribe from all or specific channels via browser automation and InnerTube API.