DevTools

Chrome DevTools MCP: How AI Agents Gain Full Browser Control for Automated Debugging, Performance Audits, and Web Scraping Imagine telling your AI assistant, “Check why my checkout page is slow,” and watching it open Chrome, record a performance trace, analyze the bottlenecks, and return a detailed report with actionable fixes. That is exactly what Chrome DevTools MCP enables. Released by the official Chrome DevTools team, this open-source Model Context Protocol (MCP) server transforms any AI coding agent into a browser automation powerhouse with 38,900+ GitHub stars and a rapidly growing ecosystem. ...

In the race to make AI coding agents truly autonomous, the biggest bottleneck has always been the browser. Agents can write code, refactor repositories, and run terminal commands — but when it comes to clicking buttons, filling forms, capturing screenshots, or auditing web performance, they traditionally hit a wall. That wall just came down. Chrome DevTools MCP is Google’s official Model Context Protocol (MCP) server that hands your AI assistant the keys to a live Chrome browser. With 38,900+ GitHub stars and backing from the Chrome DevTools team itself, this open-source project is rapidly becoming the standard for agent-driven browser automation, debugging, and performance engineering. ...

Chrome DevTools MCP: How to Supercharge AI Agents with Browser Automation, Debugging, and Performance Audits Imagine telling your AI assistant, “Check why my checkout page is slow,” and watching it open Chrome, record a performance trace, analyze the bottlenecks, and return a detailed report with actionable fixes. That is exactly what Chrome DevTools MCP enables. Released by the official Chrome DevTools team, this open-source Model Context Protocol (MCP) server transforms any AI coding agent into a browser automation powerhouse with 38,900+ GitHub stars and a rapidly growing ecosystem. ...