automatalabs/mcp-server-playwright
by Various
MCP server for browser automation using Playwright
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_navigatebrowser_screenshotbrowser_clickbrowser_click_textbrowser_hoverbrowser_hover_textbrowser_fillbrowser_selectbrowser_select_textbrowser_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
Pairs with
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