playwright-mcp

What This Skill Does

The Playwright MCP skill enables sophisticated browser automation for OpenClaw. By acting as a bridge to the Playwright automation library via the Model Context Protocol (MCP), it allows your AI agent to interact with the modern web just like a human user. Whether you need to navigate to complex Single Page Applications (SPAs), perform repetitive form-filling tasks, extract structured data from dynamic websites, or verify the layout and content of a web page, this skill provides the necessary programmatic hooks. It abstracts the browser engine (Chromium, Firefox, or WebKit) into a set of executable tools, allowing the agent to perform actions such as clicks, typing, navigation, and custom JavaScript execution directly in the DOM.

Installation

To begin, ensure you have Node.js installed. You can install the server globally using npm: npm install -g @playwright/mcp. Once installed, initialize the browser binaries by running npx playwright install chromium. If your environment requires specific security settings or custom viewports, you can launch the server manually using npx @playwright/mcp --headless or configure it via the CLI flags provided in the documentation to suit your specific security and performance requirements.

Use Cases

• Automated Data Harvesting: Scrape dynamic content that requires JavaScript execution where simple HTTP requests fail.
• Workflow Automation: Log into secure portals, navigate multi-step dashboards, and execute internal tasks autonomously.
• Quality Assurance: Verify UI elements, text content, and button responsiveness across different browsers and viewport sizes.
• Form Processing: Batch input data into legacy web forms or perform registration flows across multiple platforms.

Example Prompts

1. "Navigate to https://example.com/login, fill in the username field with 'my_user', the password with 'secret123', and click the submit button. Once done, extract the dashboard title text."
2. "Go to the company wiki, search for 'Q4 Project Plan', and return the list of items found in the main results table."
3. "Open https://analytics.dashboard.com in a 1920x1080 viewport, wait for the chart to render, and take a snapshot of the current page structure to summarize the metrics."

Tips & Limitations

• Rate Limiting: Be mindful of robot detection mechanisms; consider using the --user-agent flag to mimic real browser traffic.
• Timeouts: If dealing with heavy JavaScript, increase the --timeout-navigation value to avoid premature failures.
• Headless Mode: Always use --headless in production environments to minimize resource consumption on your host machine.
• Security: Use --allowed-hosts to restrict which domains the agent can visit to prevent accidental interaction with malicious sites.