Browser monitoring tool for AI coding assistants via MCP
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This project provides a suite of browser auditing and monitoring tools for AI agents, enabling them to interact with and analyze web pages directly from IDEs like Cursor. It targets developers and AI engineers seeking to enhance their AI coding assistants with real-time browser context and analysis capabilities, offering automated checks for accessibility, performance, SEO, and best practices.
How It Works
The system comprises three components: a Chrome extension for capturing browser data (logs, DOM, screenshots), a Node.js server acting as middleware, and an MCP (Model Context Protocol) server integrated into the IDE. This architecture allows AI clients to send commands to the Node.js server via the MCP server, which then instructs the Chrome extension to perform actions like running audits or capturing specific data. Puppeteer and the Lighthouse library are leveraged for headless browser automation and detailed page analysis.
Quick Start & Requirements
npx @agentdeskai/browser-tools-mcp@latest
npx @agentdeskai/browser-tools-server@latest
Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The auto-paste feature requires the Agent input field in Cursor to be focused. The README mentions two servers that need to be installed and run separately, which could be a point of confusion for new users.
4 months ago
1 week