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automatalabs/mcp-server-playwright

by Various

MCP server for browser automation using Playwright

A

MCP

automatalabs/mcp-server-playwright

Added 1 June 2026

Overview

An MCP server that wraps Playwright for browser automation. It enables AI agents to interact with web pages programmatically through the Model Context Protocol. Built in JavaScript, it provides a standardized interface for controlling a headless browser.

Best for

Best for
Developers integrating browser automation into AI agent workflows

Use cases

  • Automating web scraping tasks
  • Running browser-based tests via AI agents
  • Interacting with web applications programmatically

How to use

Install

npx @automatalabs/mcp-server-playwright install

Tools exposed

  • browser_navigate
  • browser_screenshot
  • browser_click
  • browser_click_text
  • browser_hover
  • browser_hover_text
  • browser_fill
  • browser_select
  • browser_select_text
  • browser_evaluate

Tested with

Claude Desktop, Cursor

Example client config

{\n  "mcpServers": {\n    "playwright": {\n      "command": "npx",\n      "args": ["-y", "@automatalabs/mcp-server-playwright"]\n    }\n  }\n}

Notes

An MCP server that wraps Playwright for browser automation. It enables AI agents to interact with web pages programmatically through the Model Context Protocol. Built in JavaScript, it provides a standardized interface for controlling a headless browser.

294 stars on GitHub. Last updated 2025-06-05. Licensed MIT.

Use cases

  • Automating web scraping tasks
  • Running browser-based tests via AI agents
  • Interacting with web applications programmatically

Pros

  • Leverages Playwright’s reliable browser automation capabilities
  • MCP integration allows easy use with AI systems
  • Open source with community support

Cons

  • Requires a running browser instance, increasing resource usage
  • Limited to browser automation; no native support for other protocols
  • May have latency overhead from MCP communication

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages Playwright's reliable browser automation capabilities
  • MCP integration allows easy use with AI systems
  • Open source with community support

Cons

  • Requires a running browser instance, increasing resource usage
  • Limited to browser automation; no native support for other protocols
  • May have latency overhead from MCP communication
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