"A tool for transcribing and summarizing YouTube videos" matching MCP servers:

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

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

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.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

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

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

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.

Enables ZCode to control a real Chrome browser, including tabs, navigation, page content, clicks, form filling, keyboard input, scrolling, screenshots, and JavaScript evaluation through a local MCP bridge.

Enables searching GitHub repositories, fetching readable web page text, and querying a local book database through MCP tool calls.

A Playwright-based browser automation tool for AI agents, enabling web search, navigation, scraping, and page interaction through the Model Context Protocol.

Enables solving CAPTCHA challenges via MCP with bounded attempts and result validation.

Provides web crawling and browser automation capabilities with support for multiple content formats (HTML, JSON, PDF, screenshots, Markdown), page content extraction, console message monitoring, and network request tracking.

A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.

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 fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

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.