Playwright
Summary
This Playwright-based MCP implementation, developed by Automata Labs, provides a robust interface between language models and web browsers. It enables AI agents to perform a comprehensive range of browser automation tasks including navigation, clicking, form filling, and JavaScript execution in real browser environments. The implementation distinguishes itself by offering screenshot capabilities and console log monitoring, making it ideal for visual AI tasks and debugging. By leveraging Playwright's cross-browser support, it ensures compatibility across major browsers. This tool is particularly powerful for AI-driven web testing, data scraping, and automated web interactions, enabling more sophisticated AI assistants that can directly manipulate web applications. Its integration with Claude Desktop and npm-based installation process make it easily accessible for developers and researchers working on advanced AI projects.
Available Actions(10)
browser_navigate
Navigate to any URL in the browser. Parameters: url (string)
browser_screenshot
Capture screenshots of the entire page or specific elements. Parameters: name (string, required), selector (optional string), fullPage (optional boolean, default: false)
browser_click
Click elements on the page using CSS selector. Parameters: selector (string)
browser_click_text
Click elements on the page by their text content. Parameters: text (string)
browser_hover
Hover over elements on the page using CSS selector. Parameters: selector (string)
browser_hover_text
Hover over elements on the page by their text content. Parameters: text (string)
browser_fill
Fill out input fields. Parameters: selector (string), value (string)
browser_select
Select an option in a SELECT element using CSS selector. Parameters: selector (string), value (string)
browser_select_text
Select an option in a SELECT element by its text content. Parameters: text (string), value (string)
browser_evaluate
Execute JavaScript in the browser console. Parameters: script (string)
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