Playwright MCP Server
@san0808
关于 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.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"playwright_mcp_server": {
"command": "python",
"args": [
"client_example.py"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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.
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