Chrome DevTools MCP: The AI That Can See Your Browser

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Google has officially launched Chrome DevTools MCP, a new tool designed to connect AI assistants directly to the browser. This technology enables AI to perform live actions such as clicking buttons, filling out forms, reading console logs, and identifying errors automatically.

Watch the video tutorial below.

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What is Chrome DevTools MCP?

Chrome DevTools MCP stands for Model Context Protocol.
It is an open standard that allows AI models to access real-time browser data and functionality. Using this protocol, AI systems can now view and interact with live webpages during development and testing.


Key Features

  • Navigation Tools: The AI can open pages and wait for elements to load.
  • Automation Tools: It can click buttons and complete form fields.
  • Performance Tracing: Automatically records and analyzes browser traces.
  • Console Monitoring: Reads error logs in real time.
  • Network Inspection: Lists all network requests and identifies failed responses.

Installation Requirements

To run Chrome DevTools MCP, users need:

  • Node.js version 22 or higher
  • The latest stable version of Google Chrome

You can install it using the command:
npx chrome-devtools-mcp@latest


Supported Tools

Chrome DevTools MCP currently works with:

  • Claude Code
  • Cursor
  • Gemini CLI
  • GitHub Copilot

Demonstration Example

A test was performed on a local web server running a login form at localhost:8080.
Using Chrome DevTools MCP, the AI filled in the username and password fields, submitted the form, detected a 500 internal server error, and identified that the issue was caused by an incorrect API endpoint.
The correct endpoint was then used, resolving the issue automatically.


Use Cases

  • Debugging backend and frontend issues
  • Testing form validation and submission
  • Analyzing network errors and CORS issues
  • Running automated performance traces

Security Notes

Google recommends running Chrome DevTools MCP in isolated browser profiles to protect personal data.
This tool is currently in public preview, with further updates expected in future releases.


Getting Started

  1. Install Node.js version 22 or higher.
  2. Update Chrome to the latest stable release.
  3. Run the command npx chrome-devtools-mcp@latest.
  4. Connect the tool to a supported AI assistant.
  5. Test it with a local or simple web project.

Conclusion

Chrome DevTools MCP marks a major step forward in AI-assisted coding and debugging.
It allows developers to merge automation with live browser feedback โ€” streamlining the testing and debugging process for faster, more reliable workflows.

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Julian Goldie

Hey, I'm Julian Goldie! I'm an SEO link builder and founder of Goldie Agency. My mission is to help website owners like you grow your business with SEO!

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