browser-automationdeveloper-tools

Playwright

automata-labs-team

by automata-labs-team

Playwright is your browser automation studio for powerful web and visual tasks. Achieve advanced playwright testing and

Control browsers to perform sophisticated web interactions and visual tasks.

github stars

282

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Real browser environment10+ web interaction toolsJavaScript execution support

best for

  • / Web scraping and data extraction
  • / Automated testing of web applications
  • / Taking visual documentation of web pages
  • / Automating repetitive web tasks

capabilities

  • / Navigate to web pages
  • / Take screenshots of pages or specific elements
  • / Click buttons and links using selectors or text
  • / Fill out forms and input fields
  • / Select dropdown options
  • / Execute JavaScript in browser console

what it does

Provides browser automation capabilities through Playwright, allowing you to navigate web pages, interact with elements, take screenshots, and execute JavaScript in a real browser environment.

about

Playwright is a community-built MCP server published by automata-labs-team that provides AI assistants with tools and capabilities via the Model Context Protocol. Playwright is your browser automation studio for powerful web and visual tasks. Achieve advanced playwright testing and It is categorized under browser automation, developer tools. This server exposes 10 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Playwright in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Playwright is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Server Playwright

MCP Playwright

A Model Context Protocol server that provides browser automation capabilities using Playwright
Enable LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment

NPM Version Downloads per month License Smithery Installs

MCP-Server-Playwright MCP server ## Table of Contents - [Features](#features) - [Installation](#installation) - [Configuration](#configuration) - [Components](#components) - [Tools](#tools) - [Resources](#resources) - [License](#license) ## Features - 🌐 Full browser automation capabilities - 📸 Screenshot capture of entire pages or specific elements - 🖱️ Comprehensive web interaction (navigation, clicking, form filling) - 📊 Console log monitoring - 🔧 JavaScript execution in browser context ## Installation ### Installing via Smithery To install MCP Server Playwright for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@automatalabs/mcp-server-playwright): ```bash npx -y @smithery/cli install @automatalabs/mcp-server-playwright --client claude ``` You can install the package using either npx or mcp-get: Using npx: ```bash npx @automatalabs/mcp-server-playwright install ``` This command will: 1. Check your operating system compatibility (Windows/macOS) 2. Create or update the Claude configuration file 3. Configure the Playwright server integration The configuration file will be automatically created/updated at: - Windows: `%APPDATA%\Claude\claude_desktop_config.json` - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` Using mcp-get: ```bash npx @michaellatman/mcp-get@latest install @automatalabs/mcp-server-playwright ``` ## Configuration The installation process will automatically add the following configuration to your Claude config file: ```json { "mcpServers": { "playwright": { "command": "npx", "args": ["-y", "@automatalabs/mcp-server-playwright"] } } } ``` ## Using with Cursor You can also use MCP Server Playwright with [Cursor](https://www.cursor.so/), an AI-powered code editor. To enable browser automation in Cursor via MCP: 1. **Install Playwright browsers** (if not already): ```bash npx playwright install ``` 2. **Install MCP Server Playwright for Cursor** using Smithery: ```bash npx -y @smithery/cli install @automatalabs/mcp-server-playwright --client cursor ``` 3. **Configuration file setup**: If you do not use Claude, the configuration file (`claude_desktop_config.json`) may not be created automatically. - On Windows, create a folder named `Claude` in `%APPDATA%` (usually `C:\Users\\AppData\Roaming\Claude`). - Inside that folder, create a file named `claude_desktop_config.json` with the following content: ```json { "serverPort": 3456 } ``` 4. **Follow the remaining steps in the [Installation](#installation) section above** to complete the setup. Now, you can use all the browser automation tools provided by MCP Server Playwright directly from Cursor’s AI features, such as web navigation, screenshot capture, and JavaScript execution. > **Note:** Make sure you have Node.js installed and `npx` available in your system PATH. ## Components ### Tools #### `browser_navigate` Navigate to any URL in the browser ```javascript { "url": "https://stealthbrowser.cloud" } ``` #### `browser_screenshot` Capture screenshots of the entire page or specific elements ```javascript { "name": "screenshot-name", // required "selector": "#element-id", // optional "fullPage": true // optional, default: false } ``` #### `browser_click` Click elements on the page using CSS selector ```javascript { "selector": "#button-id" } ``` #### `browser_click_text` Click elements on the page by their text content ```javascript { "text": "Click me" } ``` #### `browser_hover` Hover over elements on the page using CSS selector ```javascript { "selector": "#menu-item" } ``` #### `browser_hover_text` Hover over elements on the page by their text content ```javascript { "text": "Hover me" } ``` #### `browser_fill` Fill out input fields ```javascript { "selector": "#input-field", "value": "Hello World" } ``` #### `browser_select` Select an option in a SELECT element using CSS selector ```javascript { "selector": "#dropdown", "value": "option-value" } ``` #### `browser_select_text` Select an option in a SELECT element by its text content ```javascript { "text": "Choose me", "value": "option-value" } ``` #### `browser_evaluate` Execute JavaScript in the browser console ```javascript { "script": "document.title" } ``` ### Resources 1. **Console Logs** (`console://logs`) - Access browser console output in text format - Includes all console messages from the browser 2. **Screenshots** (`screenshot://`) - Access PNG images of captured screenshots - Referenced by the name specified during capture ## License This project is licensed under the MIT License - see the [LICENSE](https://github.com/Automata-Labs-team/MCP-Server-Playwright/blob/main/LICENSE) file for details.

FAQ

What is the Playwright MCP server?
Playwright is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Playwright?
This profile displays 50 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.450 reviews
  • Kabir Gonzalez· Dec 20, 2024

    Playwright is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Pratham Ware· Dec 12, 2024

    We wired Playwright into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • William Yang· Dec 12, 2024

    Useful MCP listing: Playwright is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Nia Shah· Dec 8, 2024

    Playwright reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Kofi Nasser· Nov 27, 2024

    Useful MCP listing: Playwright is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Benjamin Jackson· Nov 11, 2024

    According to our notes, Playwright benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Sakshi Patil· Nov 3, 2024

    Playwright is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Kofi Abebe· Nov 3, 2024

    Playwright reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Chaitanya Patil· Oct 22, 2024

    Playwright is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Nia Sharma· Oct 22, 2024

    I recommend Playwright for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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