PlayMCPBrowser

What it does

🚀 Supercharge your AI agents with real browser capabilities – zero ops, no code. PlayMCPBrowser runs Playwright in the cloud via MCP. Plug into Cursor/OpenAI/n8n, skip coding: the agent navigates, clicks, extracts, and screenshots. Use it for web scraping, competitor prices, logins/tests, and live data. Start in minutes; per-second pricing, no infra.

Run Playwright MCP server cloud instances for AI-powered browser automation. Zero infrastructure management, pay-per-second pricing, secure isolated workspaces for Cursor, OpenAI, and n8n integrations.

Control real browsers with AI. Zero ops. Create isolated workspaces with unique API tokens and secure MCP endpoints for your agents. Every workspace ships with these 25 purpose-built tools so your agents can browse, capture, and automate like seasoned QA engineers. Set up or tear down the live browser context with confidence. Push local fixtures into file inputs without manual drag-and-drop. Ensure the configured browser binaries are present before a run. Send single key presses such as shortcuts or navigation keys. Steer the browser and orchestrate wait conditions for stability. Pause automation until text appears, disappears, or a timeout elapses. Capture an accessibility snapshot for…from playmcpbrowser.com

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  AI BrowserNov 2025 · aibrowser.surf · ▲143

  Hey HN! I built Browser AI after getting frustrated with the official Playwright MCP server in Claude Code. If you've used it, you know the pain: - 20+ separate tools that Claude has to juggle (click, fill, navigate, wait_for_selector, etc.) - Context window explosions from verbose screenshot data and DOM snapshots - Constant tool selection errors where Claude picks the wrong tool or forgets parameters Browser AI wraps Playwright MCP with a single natural language interface. Instead of Claude managing dozens of tools, you get one: browser_ai.execute. Just tell it what you want in plain…

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  I created a browser automation tool2022 · rocketride.io · ▲176

  I created this tool a few months ago to automate some of my tasks. I use it to collect prices and files and to get notified when something changes on certain websites. The task runner uses Playwright. I'm not sure if it can be useful to anybody else besides me :) Any feedback is welcome.

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  Browser MCP – Automate your browser using Cursor, Claude, VS Code2025 · browsermcp.io · ▲616

  Browser MCP connects AI applications to your browser so you can automate tasks using AI. Supported by Claude, Cursor, VS Code, Windsurf, and more.

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  Playwright Skill for Claude Code – Less context than playwright-MCP2025 · github.com · ▲189

  I got tired of playwright-mcp eating through Claude's 200K token limit, so I built this using the new Claude Skills system. Built it with Claude Code itself. Instead of sending accessibility tree snapshots on every action, Claude just writes Playwright code and runs it. You get back screenshots and console output. That's it. 314 lines of instructions vs a persistent MCP server. Full API docs only load if Claude needs them. Same browser automation, way less overhead. Works as a Claude Code plugin or manual install. Token limit issue:…

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  Stagehand – an open source browser automation framework powered by AI2025 · github.com · ▲326

  Hi HN! I’m Anirudh — longtime lurker, first time poster, and I couldn’t be more excited to show you Stagehand. Stagehand is a TypeScript project that extends Playwright with three simple AI methods — act, extract, and observe. We’d love for you to try it out using the command below: npx create-browser-app --example quickstart Here’s a sample workflow: const stagehand = new Stagehand(); await stagehand.init(); // Stagehand overrides the Playwright Page and Context classes const { page, context } = stagehand await page.goto("instadash.com") // Regular Playwright…

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  OpenBrowser-AIApr 2026 · openbrowser.me · ▲76

  Your AI agent is burning 6x more tokens than it needs to just to browse the web. We built OpenBrowser MCP to fix that. Most browser MCPs give the LLM dozens of tools: click, scroll, type, extract, navigate. Each call dumps the entire page accessibility tree into the context window. One Wikipedia page? 124K+ tokens. Every. Single. Call. OpenBrowser works differently. It exposes one tool. Your agent writes Python code, and OpenBrowser executes it in a persistent runtime with full browser access. The agent controls what comes back. No bloated page dumps. No wasted tokens. Just the data your…

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