A Browser Automation Tool for Humans and AI - Built with Playwright, optimized for Bun runtime, supporting CLI and MCP Server modes for webpage analysis and automation
Overview
What is rag-browser?
rag-browser is a browser automation tool designed for both humans and AI, built with Playwright and optimized for the Bun runtime. It allows users to analyze and automate web pages effectively.
How to use rag-browser?
To use rag-browser, you can run it in CLI mode or MCP Server mode. In CLI mode, you can execute commands directly in your terminal to analyze web pages or perform actions. In MCP Server mode, it integrates with AI systems for automated tasks.
Key features of rag-browser?
- CLI Mode for direct webpage analysis and action execution.
- MCP Server Mode for AI integration via Model Context Protocol.
- Action support for waiting, clicking, typing, and capturing content.
- Stability checks to ensure reliable execution.
- Output options for pretty-printed console output or JSON format.
Use cases of rag-browser?
- Analyzing webpage structures and interactive elements.
- Automating repetitive browser tasks without coding.
- Integrating with AI systems for dynamic web interactions.
FAQ from rag-browser?
- Can rag-browser be used for any website?
Yes, rag-browser can analyze and automate tasks on any publicly accessible website.
- Is rag-browser free to use?
Yes, rag-browser is open-source and free to use under the MIT license.
- What are the prerequisites for using rag-browser?
You need Bun (recommended) or Node.js installed to run rag-browser.