Playwright MCP
Control a browser for automation and web scraping tasks using Playwright.
playwright-mcp
Playwright wrapper for MCP (Model Context Protocol). This server enables LLM-powered clients to control a browser for automation tasks.
Components
Resources
The server exposes resources for accessing browser screenshots:
- Screenshot resource URI:
screenshot://{page_id} - Screenshot resources are automatically available for all open pages
Prompts
The server provides a prompt to help clients interpret web pages:
interpret-page: Analyzes the current web page content and structure- Optional
page_idargument to select which page to interpret - Optional
focusargument to focus on specific aspects (full, forms, navigation, text) - Returns both text analysis and a screenshot of the page
- Optional
Tools
The server implements a comprehensive set of browser automation tools:
-
Browser navigation
navigate: Go to a specific URLnew_page: Create a new browser page with a specific IDswitch_page: Switch to a different browser pageget_pages: List all available browser pages
-
Page interaction
click: Click on an element using CSS selectortype: Type text into an input elementwait_for_selector: Wait for an element to appear on the page
-
Content extraction
get_text: Get text content from an elementget_page_content: Get the entire page HTMLtake_screenshot: Capture visual state of the page or element
Configuration
Install Dependencies
uv add playwright
playwright install chromium
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
"mcpServers": {
"playwright-mcp": {
"command": "uv",
"args": [
"--directory",
"/Users/shannon/Workspace/artivus/playwright-mcp",
"run",
"playwright-mcp"
]
}
}
Published Servers Configuration
"mcpServers": {
"playwright-mcp": {
"command": "uvx",
"args": [
"playwright-mcp"
]
}
}
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory /Users/shannon/Workspace/artivus/playwright-mcp run playwright-mcp
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
관련 서버
Bright Data
스폰서Discover, extract, and interact with the web - one interface powering automated access across the public internet.
TradingView Chart Image Scraper
Fetches TradingView chart images for a given ticker and interval.
XPath MCP Server
Execute XPath queries on XML content.
HotNews MCP Server
Provides real-time hot trending topics from major Chinese social platforms and news sites.
MCP Rquest
An MCP server for making advanced HTTP requests with browser emulation, including PDF and HTML to Markdown conversion.
Feed
A server for fetching and parsing RSS, Atom, and JSON feeds.
Fetch
Web content fetching and conversion for efficient LLM usage
Scrapfly
Scrapfly MCP Server gives AI agents a simple, unified way to scrape live web data with built-in anti-bot handling.
Scraper.is MCP
A powerful web scraping tool for AI assistants, powered by the Scraper.is API.
Scrapezy
Turn websites into datasets with Scrapezy
Read Website Fast
Fast, token-efficient web content extraction that converts websites to clean Markdown. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching with minimal dependencies.