E2E Browser Automation

2

Enables end-to-end testing and web automation through browser interaction capabilities for extracting content, following links, and executing automated browsing workflows with configurable headless operation.

GitHub
Category Web Apps
Added Mar 28, 2026
Views 50

About

E2E-MCP provides a server for running end-to-end tests using browser automation through the Model Context Protocol. Built with Python, it integrates with LLM providers like OpenAI and Anthropic to power an agent that can interact with web browsers using the browser-use library. The implementation allows for headless or visible browser operation, making it ideal for AI-assisted web testing, content extraction, and automated browsing workflows. The server can be debugged using the MCP inspector tool and is designed to enhance 'Vibe Coding' workflows in AI IDEs like Cursor or Windsurf.

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