"Using Cursor AI to Automate Development of a Flutter Dating App" matching MCP servers:

An unofficial local stdio MCP server that uses a persistent Playwright browser profile to let MCP clients inspect VK Dating pages, manage chats and matches, preview or send and edit messages, react to content, and capture local snapshots. Authentication is performed manually through a visible browser login, with no VK API credentials or model API keys required.

An MCP server that gives AI agents eyes and hands to visually interact with running apps across 10 platforms, enabling natural language-driven testing and automation without test code.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

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.

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 a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

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.

Drives a real Chromium browser with Playwright, providing a live, clickable view of the page for the model to browse and the user to interact with.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

Enables AI agents to manage local Google Chrome profiles on Windows — listing, creating, launching, organizing, and syncing profiles with proxies, notes, tags, and value sets, while keeping cookies and irreversible deletion out of reach.

MCP server for capturing real UI screenshots using Playwright. Provides tools to capture a URL or capture with login and selectors.

Enables users to discover jobs by target titles and countries, rank job descriptions by skill coverage across all imported resumes, generate tailored ATS-ready resumes and cover letters, and fill and submit requested application batches through a signed-in AI host with browser access.

It enables AI agents to call a small set of reliable, permission-aware tools generated from an existing website through the Model Context Protocol, without rebuilding the site.

Enables users to record, review, verify, and expose permitted browser workflows as callable MCP tools with typed inputs, isolated Chromium verification, and approval-gated writes.

Enables converting webpages into structured JSON using CSS-selector schemas, with anti-bot handling and support for protected pages.

Enables converting any webpage to clean LLM-ready markdown, with extraction, article, and news modes, using a real browser with anti-bot handling.

MCP server that converts web page URLs to Markdown via the Zyla API.

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

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 AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

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.

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

Converts X (Twitter) posts into JSON, PDF, PNG, Markdown, or Slack/Discord messages using public endpoints, no API key or login required.

Enables AI agents to fully control a terminal browser via MCP, navigating pages, filling forms, logging in, and managing cookies with deterministic numbered links and forms. Also provides an interactive human CLI.

Acts as a bridge between an AI assistant and a WebApp Tinkerer instance, enabling live inspection and manipulation of applets in the browser.

MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.