Playwright MCP Server

@ma-pony

Repository

Basic information

About Playwright MCP Server

Playwright MCP Server 一个基于 FastMCP 框架的专业级 Playwright 浏览器自动化 MCP 服务器，为 LLM 应用提供强大的网页交互和数据提取能力。

#mcp-playwright#browser-automation #data-extraction

Playwright MCP Server config

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

{
  "mcpServers": {
    "mcp-playwright-ma-pony": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Playwright MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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?

A professional-grade Playwright browser automation MCP server built on the FastMCP framework. It provides LLM applications with powerful web interaction and data extraction capabilities, supporting Chromium, Firefox, and WebKit engines.

How to use Playwright MCP Server?

Install via pip install mcp-playwright (or uv add mcp-playwright) and run playwright install to download browsers. Start the server with the mcp-playwright command. Integrate with Claude Desktop by adding the tool’s command to the MCP configuration JSON.

Key features of Playwright MCP Server

Full Playwright browser control and automation
Multi-engine support: Chromium, Firefox, WebKit
Independent browser sessions with concurrent operation
Smart lifecycle management and resource cleanup
Comprehensive error handling and timeout control
Modular design with type safety and async safety

Use cases of Playwright MCP Server

LLM-driven web scraping and data extraction
Automated browser testing for web applications
AI-assisted form filling and page interaction
Dynamic website monitoring and screenshot capture
Integration of web content into LLM reasoning pipelines

Frequently asked questions

What Python and Playwright versions are required?

Python 3.10 or higher, and Playwright 1.51.0 or higher.

How does Playwright MCP Server manage browser sessions?

It uses a session manager with isolated browser contexts, configurable max sessions (default 10), and automatic resource cleanup via weak references.

What data can I extract from a page?

The server provides tools to get page title, current URL, element text content, and element attribute values, along with full-page screenshots and JavaScript execution results.

Is there a limit on concurrent browser sessions?

Yes. The default maximum concurrent sessions is 10, configurable via the `max_sessions` option.

Does the server support authentication or custom headers?

No authentication or custom header support is mentioned in the README. The server focuses on standard browser automation tools.

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