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playwright-mcp

Drive real browsers via Playwright MCP with actions like click and type.

Updated Jan 30, 2026
Search Tags:#automation#mcp#playwright#web-testing#ai-agent#browser-automation#accessibility-tree
One-click install
npx skills add https://github.com/poko8nada/honox-sample --skill playwright-mcp-poko8nada
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: playwright-mcp
Source: https://github.com/poko8nada/honox-sample/tree/main/.github/skills/playwright-mcp
Command: npx skills add https://github.com/poko8nada/honox-sample --skill playwright-mcp-poko8nada

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables AI agents to automate browser tasks by controlling real browsers via the MCP protocol without relying on screenshots, unlocking stateful and accessible web interactions.

Core Features & Use Cases

  • Start MCP server and control Chromium, Firefox, and WebKit through MCP.
  • Perform actions like open_page, click, type, wait_for, evaluate, screenshot, and get_accessibility_tree.
  • Use cases include automated testing, data extraction, and long-running browser automation with persistent sessions.

Quick Start

Open the MCP server and begin a browser session to start automation.

Frequently Asked Questions about playwright-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate browser tasks with an AI agent without relying on screenshots?▼

You can automate browser tasks with an AI agent by using the Playwright MCP protocol to control real browsers directly. This enables stateful web interactions using actions like open_page, click, and type without relying on visual screenshots.

What browser actions are supported by the Playwright MCP library?▼

The Playwright MCP library supports actions like open_page, click, type, wait_for, evaluate, screenshot, and get_accessibility_tree to drive stateful browser sessions across multiple automation steps.

Do I need Node.js to control browsers using the MCP protocol?▼

Yes, you need Node.js and the Playwright MCP library installed to start the MCP server and control real browsers for automated testing, scraping, and persistent workflows.

Can I run long-running web automation with persistent sessions using Playwright?▼

Yes, Playwright MCP supports long-running browser automation by maintaining stateful browser sessions across multiple steps, making it ideal for persistent automated testing and data extraction workflows.

What is the best way to extract web data from dynamic pages that require multiple steps?▼

The best way to extract web data from dynamic pages is using the Playwright MCP protocol to drive real browsers through stateful sessions, executing actions like click, type, and evaluate across multiple steps to reach target content.

Why use the accessibility tree for web testing instead of taking screenshots?▼

Using the accessibility tree for web testing allows AI agents to interact with page elements directly and accurately without the overhead or fragility of visual screenshot processing, enabling more reliable automated workflows.

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