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Playwright MCP Server

@san0808

About Playwright MCP Server

This server provides a comprehensive set of tools to control a web browser instance using Playwright, exposed via the Model Context Protocol (MCP). It allows AI models or other MCP clients to perform complex web browsing tasks across multiple pages/tabs.

Basic information

Category

Browser Automation

License

MIT license

Runtime

python

Transports

stdio

Publisher

san0808

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "playwright_mcp_server": {
      "command": "python",
      "args": [
        "client_example.py"
      ]
    }
  }
}

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Playwright MCP Server?

This server provides a comprehensive set of tools to control a web browser instance using Playwright, exposed via the Model Context Protocol (MCP). It allows AI models or other MCP clients to perform complex web browsing tasks across multiple pages/tabs.

How to use Playwright MCP Server?

Install the Python dependencies (pip install "fastmcp>=2.0.0" playwright) and install Playwright’s Chromium browser (playwright install chromium). Run the server via the FastMCP CLI, e.g. fastmcp run main.py --transport sse --port 8001, then execute the provided client example script.

Key features of Playwright MCP Server

  • Multi-page management: open, close, switch, and list pages
  • Navigation: go to URLs, back/forward, reload
  • Content retrieval: HTML, text, title, URL
  • Full interaction suite: click, fill, type, check, select, hover, drag-and-drop
  • Waiting utilities: for elements, URLs, load states
  • State/information: element visibility, attributes, bounding box
  • Visuals: page and element screenshots

Use cases of Playwright MCP Server

  • Web scraping and content extraction from dynamic pages
  • Automated form filling and interactive testing
  • Multi-tab browsing workflows for AI agents
  • Visual regression testing via screenshots
  • JavaScript evaluation for deep page analysis

FAQ from Playwright MCP Server

What dependencies does Playwright MCP Server require?

Python 3.x, the fastmcp>=2.0.0 and playwright packages, and the Playwright Chromium browser installed via playwright install chromium.

How do I run the server?

Use the FastMCP CLI: fastmcp run main.py --transport sse --port 8001. Alternatively, a client example using stdio transport is included.

Are there security concerns with the JavaScript evaluation tools?

Yes, playwright_evaluate and playwright_execute_javascript are powerful and can execute arbitrary code. Use with caution or disable them if the server is exposed publicly.

What transports are supported?

The server can be run with SSE (WebSocket) or stdio transport, as shown in the usage examples.

What license is Playwright MCP Server distributed under?

MIT License.

Comments

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