This MCP allows AI agents to interact with web browsers using Python Playwright, supporting actions like navigation, executing JavaScript, and taking screenshots.
Added on:
Created by:
Apr 15 2025
This MCP allows AI agents to interact with web browsers using Python Playwright, supporting actions like navigation, executing JavaScript, and taking screenshots.
Added on:
Created by:
Apr 15 2025
Mr MN
Featured
What is Browser Control MCP?
The Browser Control MCP offers a suite of tools that facilitate AI-driven control of web browsers. Built on Python Playwright, it enables automation tasks such as opening and closing browsers, navigating to URLs, executing JavaScript code in real-time, capturing screenshots, and managing browser sessions. Its design supports seamless integration with AI agents to perform complex web interactions, making it suitable for automated testing, web scraping, and browser automation tasks in AI applications.
Who will use Browser Control MCP?
- AI developers
- Test automation engineers
- Web scraper developers
- Researchers working on browser automation
How to use the Browser Control MCP?
- Step 1: Install the MCP server and dependencies
- Step 2: Launch the MCP server
- Step 3: Use provided APIs to open a browser and navigate to target URLs
- Step 4: Execute JavaScript or take screenshots as needed
- Step 5: Close the browser session after completion
Browser Control MCP's Core Features & Benefits
The Core Features
- execute_javascript
- go_to_url
- sleep_for
- close_browser
- open_browser
- take_browser_screenshot
The Benefits
- Supports automation of browser interactions
- Facilitates AI integration for web control
- Enables real-time browser manipulation
- Supports multiple browser actions for testing and scraping
Browser Control MCP's Main Use Cases & Applications
- Automated web testing
- Web scraping & data extraction
- AI-powered browser control for research
- Automated UI testing and validation
FAQs of Browser Control MCP
Developer
- biteval
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