This project serves as a Model Context Protocol (MCP) server that bridges the gap between an AI model and a Chrome browser. It allows the AI to act as a developer by inspecting the page's accessibility tree, controlling browser actions (clicking, typing), and analyzing technical details like network traffic, console logs, and performance traces via Chrome DevTools integration.
chrome-devtools-mcp is organized as connected concepts and components. Start broad, then drill down chapter by chapter.
This project serves as a Model Context Protocol (MCP) server that bridges the gap between an AI model and a Chrome browser. It allows the AI to act as a developer by inspecting the page's accessibility tree, controlling browser actions (clicking, typing), and analyzing technical details like network traffic, console logs, and performance traces via Chrome DevTools integration.
Source Repository: https://github.com/ChromeDevTools/chrome-devtools-mcp
Follow sequentially or jump to any topic. Start with Browser Lifecycle (Process Management).
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