MCP Integration Guide: Chrome DevTools MCP, Playwright MCP, and Scrapeless Browser MCP

This guide introduces three Model Context Protocol (MCP) servers—Chrome DevTools MCP, Playwright MCP, and Browser MCP.

Overview: Choosing the Right MCP

One Cloud Browser, Infinite Integrations

All three MCPs — Chrome DevTools MCP, Playwright MCP, and Scrapeless Browser MCP — share one foundation: they all connect to the Scrapeless Cloud Browser.
Unlike traditional local browser automation, Scrapeless Browser runs entirely in the cloud, providing unmatched flexibility and scalability for developers and AI agents.
Here’s what makes it truly powerful:

• Seamless Integration: Fully compatible with Puppeteer, Playwright, and CDP, allowing effortless migration from existing projects with a single line of code.
• Global IP Coverage: Access to residential, ISP, and unlimited IP pools across 195+ countries, at a transparent and cost-effective rate ($0.6–1.8/GB). Perfect for large-scale web data automation.
• Isolated Profiles: Each task runs in a dedicated, persistent environment, ensuring session isolation, multi-account management, and long-term stability.
• Unlimited concurrent scaling: Instantly launch 50–1000+ browser instances with auto-scaling infrastructure — no server setup, no performance bottleneck.
• Edge Nodes Worldwide: Deploy on multiple global nodes for ultra-low latency and 2–3× faster startup than other cloud browsers.
• Anti-Detection: Built-in solutions for reCAPTCHA, Cloudflare Turnstile, and AWS WAF, ensuring uninterrupted automation even under strict protection layers.
• Visual Debugging: Achieve human-machine interactive debugging and real-time proxy traffic monitoring via Live View. Replay sessions page-by-page through Session Recordings to quickly identify issues and optimize operations.

Chrome DevTools MCP

Chrome DevTools MCP is a Model-Context-Protocol (MCP) server that allows AI coding assistants — such as Gemini, Claude, Cursor, or Copilot — to control and inspect a live Chrome browser for reliable automation, advanced debugging, and performance analysis.

Key Features

• Get performance insights: Uses Chrome DevTools to record traces and extract actionable performance insights.
• Advanced browser debugging: Analyze network requests, take screenshots, and check the browser console.
• Reliable automation: Uses Puppeteer to automate actions in Chrome and automatically wait for action results.

Requirements

• Node.js v20.19 or the latest maintenance LTS version.
• npm.

Getting Started

Log in to Scrapeless and get your API Key.

Quick Start

This JSON configuration is used by an MCP client to connect to the Chrome DevTools MCP server and control the remote Scrapeless cloud browser instance.

{
  "mcpServers": {
    "chrome-devtools": {
      "command": "npx",
      "args": [
        "chrome-devtools-mcp@latest",
        "--wsEndpoin=wss://browser.scrapeless.com/api/v2/browser?token=scrapeless api key&proxyCountry=US&sessionRecording=true&sessionTTL=900&sessionName=CDPDemo"
      ]
    }
  }
}

Showcase

Use Cases

• Web Performance Analysis: Record traces with CDP and extract actionable insights on page load, network requests, and JavaScript execution, enabling AI assistants to suggest performance optimizations.
• Automated Debugging: Capture console logs, inspect network traffic, take screenshots, and automatically reproduce bugs for faster troubleshooting.
• End-to-End Testing: Automate complex workflows with Puppeteer, validate page interactions, and check dynamic content rendering in Chrome.
• AI-Assisted Automation: LLMs like Gemini or Copilot can fill forms, click buttons, or scrape structured data from Chrome pages with reliability and precision.

Playwright MCP

Playwright MCP is a Model-Context-Protocol (MCP) server that provides browser automation capabilities based on Playwright. It allows large language models (LLMs) or AI coding assistants to interact with web pages.

Key Features

• Fast and lightweight. Uses Playwright's accessibility tree, not pixel-based input.
• LLM-friendly. No vision models needed, operates purely on structured data.
• Deterministic tool application. Avoids ambiguity common with screenshot-based approaches.

Requirements

• Node.js 18 or newer
• VS Code, Cursor, Windsurf, Claude Desktop, Goose or any other MCP client

Getting Started

Log in to Scrapeless and get your API Key.

Quick Start

This JSON configuration is used by an MCP client to connect to the Playwright MCP server and control the remote Scrapeless cloud browser instance.

{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": [
        "@playwright/mcp@latest",
        "--headless",
        "--cdp-endpoint=wss://browser.scrapeless.com/api/v2/browser?token=Your_Token&proxyCountry=ANY&sessionRecording=true&sessionTTL=900&sessionName=playwrightDemo"
      ]
    }
  }
}

Showcase

Use Cases

• Web Scraping and Data Extraction: LLMs powered by Playwright MCP can navigate websites, extract structured data, and automate complex scraping tasks within a real browser environment. This supports large-scale information collection for market research, content aggregation, and competitive intelligence.

• Automated Workflow Execution: Playwright MCP allows AI agents to perform repetitive web-based workflows such as data entry, report generation, and dashboard updates. It’s particularly effective for business process automation, HR onboarding, and other high-frequency operations.

• Personalized Customer Service and Support: AI agents can use Playwright MCP to interact directly with web portals, retrieve user-specific data, and perform troubleshooting actions. This enables personalized, context-aware support experiences — for instance, fetching order details or resolving login issues automatically.

Browser MCP

Scrapeless Browser MCP Server seamlessly connects models like ChatGPT, Claude, and tools like Cursor and Windsurf to a wide range of external capabilities, including:

• Browser automation for page-level navigation and interaction
• Scrape dynamic, JS-heavy sites—export as HTML, Markdown, or screenshots

Supported MCP Tools

Getting Started

Log in to Scrapeless and get your API Token.

Configure Your MCP Client

Scrapeless MCP Server supports both Stdio and Streamable HTTP transport modes.
🖥️ Stdio (Local Execution)

{
  "mcpServers": {
    "Scrapeless MCP Server": {
      "command": "npx",
      "args": ["-y", "scrapeless-mcp-server"],
      "env": {
        "SCRAPELESS_KEY": "YOUR_SCRAPELESS_KEY"
      }
    }
  }
}

🌐 Streamable HTTP (Hosted API Mode)

{
  "mcpServers": {
    "Scrapeless MCP Server": {
      "type": "streamable-http",
      "url": "https://api.scrapeless.com/mcp",
      "headers": {
        "x-api-token": "YOUR_SCRAPELESS_KEY"
      },
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

Advanced Options

Customize browser session behavior with optional parameters. These can be set via environment variables (for Stdio) or HTTP headers (for Streamable HTTP):

Use Cases

Web Scraping & Data Collection

• E-commerce Monitoring: Automatically visit product pages to collect prices, stock status, and descriptions.
• Market Research: Batch scrape news, reviews, or company pages for analysis and comparison.
• Content Aggregation: Extract page content, posts, and comments for centralized collection.
• Lead Generation: Gather contact information and company details from corporate websites or directories.

Testing & Quality Assurance

• Function Verification: Use clicks, typing, and element waits to ensure pages behave as expected.
• User Journey Testing: Simulate real user interactions (typing, clicking, scrolling) to validate workflows.
• Regression Testing Support: Capture screenshots of key pages and compare to detect UI or content changes.

Task & Workflow Automation

• Form Filling: Automatically complete and submit web forms (e.g., registrations, surveys).
• Data Capture & Report Generation: Periodically extract page data and save as HTML or screenshots for analysis.
• Simple Administrative Tasks: Automate repetitive backend or web-based operations using simulated clicks and typing.

Showcase

Case 1: Web Interaction and Data Extraction Automation with Claude

Using Browser MCP Server, Claude can perform complex web operations—such as navigation, clicking, scrolling, and data scraping—through conversational commands, with real-time execution preview via live sessions.

Case 2: Bypassing Cloudflare to Retrieve Target Page Content

Using the Browser MCP Server, Cloudflare-protected pages are automatically accessed, and upon completion, the page content is extracted and returned in Markdown format.

Integrations

Claude Desktop

1. Open Claude Desktop
2. Navigate to: Settings → Tools → MCP Servers
3. Click "Add MCP Server"
4. Paste either the Stdio or Streamable HTTP config above
5. Save and enable the server
6. Claude will now be able to issue web queries, extract content, and interact with pages using Scrapeless

Cursor IDE

1. Open Cursor
2. Press Cmd + Shift + P and search for: Configure MCP Servers
3. Add the Scrapeless MCP config using the format above
4. Save the file and restart Cursor (if needed)
5. Now you can ask Cursor things like:
   • “Search StackOverflow for a solution to this error”
   • “Scrape the HTML from this page”
6. And it will use Scrapeless in the background.