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

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.

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 any MCP client to run Cursor's server-side web search as a tool, returning summarized answers with source links. Authenticates via API key or browser-based OAuth login without needing the cursor-agent binary.

Enables AI agents to control Cursor IDE's built-in Browser Tab through a stdio MCP interface, providing accessibility snapshots with refs, click/type/fill, wait conditions, screenshots, and console/network inspection.

Demonstrates using Playwright with the Model Context Protocol (MCP) to enable large language models to automate browser interactions, with an example of cursor-based pagination against the GitHub GraphQL API.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

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.

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.

An MCP server that uses Google Gemini and Playwright to fetch current weather for Israeli cities, extracting data from live websites to answer queries in Hebrew or English.

Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms.

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.

Enables terminal AI coding assistants to interact with web AI chat services through browser automation, supporting multiple platforms like Doubao and ChatGPT.

A licensed, locally run Playwright E2E testing MCP server for Claude Desktop and Cursor. It lets AI coding agents inspect semantic accessibility structure, validate role-based browser flows with explicit assertions, and generate reusable Playwright tests.

Enables Cursor to drive Google Chrome through the jev-browser-use click loop, with Cursor supplying tasks, typing text, and verifying results while Jev chooses the next click.

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.

It enables AI assistants to run installed command-line tools and scripts, drive persistent terminals and browsers, and retrieve saved jobs, screenshots, and other evidence on a server. It also provides a dashboard for tracking sessions, installed tools, and connection settings.

MCP server that provides browser automation capabilities through a Chrome extension, enabling terminal-based agents to interact with any website via a live browser session with optimized context.