Your AI just got eyes.
It can see your browser.
Click buttons.
Read errors.
Fix bugs.
Automatically.
This is Chrome DevTools MCP.
And it just changed coding forever.
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What Is Chrome DevTools MCP
I’m Julian Goldie.
CEO of Goldie Agency.
And I just tested something that made me stop everything.
Google released Chrome DevTools MCP.
And this thing is absolutely insane.
Chrome DevTools MCP stands for Model Context Protocol.
It’s an open standard that connects AI assistants to external tools.
Here’s what Chrome DevTools MCP does.
Your AI can write code.
But it can’t see what happens when that code runs.
It’s basically coding blind.
That’s the old way.
With Chrome DevTools MCP, your AI gets eyes.
It can see the browser.
Control it.
Test things.
Debug issues.
Just like you would manually with Chrome DevTools MCP.
Except it happens automatically.
And way faster.
Real World Example Of Chrome DevTools MCP
Let me tell you what happened in my testing with Chrome DevTools MCP.
I had a broken form on my website.
Users couldn’t submit it.
Console was throwing errors.
Network requests were failing.
Normally I’d spend hours debugging this.
Opening DevTools.
Checking console logs.
Looking at network requests.
Trying different fixes.
Testing again and again.
But with Chrome DevTools MCP, I told my AI assistant to fix it.
And here’s the crazy part about Chrome DevTools MCP.
The AI opened the browser.
Filled out the form with test data.
Read the console errors.
Checked the network logs.
Found the bug.
Proposed a fix.
I made the change.
It tested it again using Chrome DevTools MCP.
And confirmed it worked.
All in under two minutes.
Why Chrome DevTools MCP Changes Everything
Here’s why Chrome DevTools MCP matters so much.
When you ask ChatGPT or Claude to write code, they give you their best guess.
They don’t know if it actually works.
They can’t test it.
They can’t see runtime errors.
They just output code and hope for the best.
You paste it in.
Run it.
It breaks.
You go back.
Ask for another fix.
They guess again.
This loop can go on forever without Chrome DevTools MCP.
With Chrome DevTools MCP, that loop is broken.
The AI writes code.
Tests it immediately using Chrome DevTools MCP.
Sees if it works.
If it doesn’t, it sees why.
Reads the actual error.
Fixes it correctly.
Tests again.
Confirms it works.
No more guessing with Chrome DevTools MCP.
Just working code.
What Chrome DevTools MCP Can Do
Google just launched the public preview in September 2025.
Chrome DevTools MCP is brand new.
The NPM package is live.
Version 0.3.0.
You can install Chrome DevTools MCP right now.
Here’s what Chrome DevTools MCP gives you.
Navigation tools where your AI can open pages and wait for elements to load.
Automation tools to click buttons and fill forms.
Performance tracing to record and analyze traces automatically.
Console monitoring to read every error in real time.
Network inspection to list all requests and find failures.
This is everything you use in DevTools.
But now your AI can use it too through Chrome DevTools MCP.
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How Chrome DevTools MCP Setup Works
Here’s the setup for Chrome DevTools MCP.
You need Node.js version 22 or higher.
Latest stable Chrome browser.
That’s it for Chrome DevTools MCP.
Installation is simple.
You can run Chrome DevTools MCP with NPX.
Or configure it in your AI client.
Chrome DevTools MCP works with Claude Code.
Works with Cursor.
Works with Gemini CLI.
Works with GitHub Copilot.
You just add the MCP server.
Point it to NPX chrome devtools MCP latest.
Then you launch it.
It spins up a Chrome instance.
Your AI connects to it through Chrome DevTools MCP.
And boom.
Now your AI has browser control.
You can run Chrome DevTools MCP headless with no visible browser window.
Or you can watch it work.
I recommend watching Chrome DevTools MCP the first few times.
Because it’s honestly wild to see your AI assistant literally controlling your browser.
The Debugging Demo With Chrome DevTools MCP
Let me show you how Chrome DevTools MCP works in real life.
I set up a local dev server running on localhost port 8080.
Simple login form.
Username field.
Password field.
Submit button.
But the form is broken.
When you click submit, nothing happens.
Console throws an error.
Network request fails.
I open my AI assistant.
I’ve got Claude Code running with Chrome DevTools MCP.
I tell it to debug the login form.
The AI starts working through Chrome DevTools MCP.
Browser window opens.
Navigates to localhost 8080.
AI fills in the username field.
Fills in password field.
Clicks the submit button.
The form tries to submit.
Request goes out.
Comes back with an error.
500 internal server error.
The AI sees this in the network tab through Chrome DevTools MCP.
It also checks the console.
Console shows an error message.
Failed to POST to slash API slash login.
The AI reads all of this through Chrome DevTools MCP.
Then it tells me exactly what’s wrong.
The endpoint path is incorrect.
It’s trying to POST to slash API slash login.
But my server expects slash API slash submit login.
That’s the bug Chrome DevTools MCP found.
The AI even suggests the fix.
Change the form action from slash API slash login to slash API slash submit login.
I open my code editor.
Find the form component.
Change the endpoint.
Save the file.
Now I tell the AI to test it again using Chrome DevTools MCP.
Browser refreshes.
AI fills the form again.
Clicks submit.
This time the request goes to the right endpoint.
Returns 200 success.
Console shows no errors.
Form submission works perfectly.
AI confirms the fix is successful through Chrome DevTools MCP.
Total time from finding the bug to fixing it.
Two minutes.
This is the power of Chrome DevTools MCP.
Real Use Cases For Chrome DevTools MCP
Let me give you more use cases for Chrome DevTools MCP.
Performance optimization.
Your page loads slow.
Tell your AI to run a performance trace using Chrome DevTools MCP.
It records.
Loads your page.
Stops the trace.
Analyzes the results.
Then tells you exactly what’s slowing things down.
Maybe you’ve got render blocking scripts.
Maybe images aren’t optimized.
The AI sees all of this through Chrome DevTools MCP.
Gives you actionable recommendations.
Form validation bugs.
You’ve got a complex checkout form.
Multiple steps.
Users report they can’t complete checkout.
With Chrome DevTools MCP, you tell your AI to walk through the entire checkout flow.
It goes step by step.
If any step fails, Chrome DevTools MCP catches it.
Reads the error.
Tells you exactly which validation is broken.
Network errors and CORS issues.
These are a pain to debug.
With Chrome DevTools MCP, your AI sees the exact network request.
Reads the CORS error.
Checks the headers.
Tells you exactly what’s missing.
You add the header.
Test again using Chrome DevTools MCP.
Problem solved.
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Important Things About Chrome DevTools MCP
Let me talk about some important things you need to know about Chrome DevTools MCP.
First, Chrome DevTools MCP is a public preview.
Google is building this incrementally.
Some features might be missing.
That’s okay.
Chrome DevTools MCP is still incredibly powerful.
And it’s only going to get better.
Second, you need recent software for Chrome DevTools MCP.
Node.js version 22 or higher.
Latest stable Chrome.
Update your tools if needed.
Third, security matters with Chrome DevTools MCP.
Chrome DevTools MCP gives your AI control over a browser instance.
Don’t use this with sensitive data.
Don’t connect Chrome DevTools MCP to your main browser profile.
Use isolated mode.
Create a separate user data directory.
Keep your personal browsing separate from Chrome DevTools MCP.
Fourth, start simple with Chrome DevTools MCP.
Don’t try to automate your entire testing suite on day one.
Start with basic stuff.
Navigate to a page.
Click a button.
Fill a form with Chrome DevTools MCP.
Get comfortable with how it works.
Then level up.
Add more complex scenarios.
How Chrome DevTools MCP Changes Your Workflow
Here’s the thing about Chrome DevTools MCP.
This isn’t replacing you as a developer.
You’re still in control.
You’re still making decisions.
You’re still writing the important code.
But you’re offloading the tedious stuff with Chrome DevTools MCP.
The manual testing.
The repetitive debugging.
Let AI handle that through Chrome DevTools MCP.
You focus on building.
Creating.
Solving interesting problems.
I’ve been testing Chrome DevTools MCP for the past week.
And I’m not going back.
Every bug I need to debug, I start with Chrome DevTools MCP.
It saves me hours every single day.
Hours I can spend on high value work.
Strategy.
Architecture.
Complex problem solving.
Not clicking through forms over and over.
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Quality Control With Chrome DevTools MCP
Here’s something critical about Chrome DevTools MCP.
You still need to quality control everything.
Chrome DevTools MCP is powerful.
But you’re the decision maker.
The AI finds bugs through Chrome DevTools MCP.
It suggests fixes.
But you review them.
You make sure they make sense.
You approve the changes.
Chrome DevTools MCP is a tool.
You’re the developer.
Your judgment matters.
Getting Started With Chrome DevTools MCP Today
Here’s what you need to do right now with Chrome DevTools MCP.
First, install Node.js version 22 if you don’t have it.
Second, make sure your Chrome is updated.
Third, pick an AI coding assistant for Chrome DevTools MCP.
Claude Code is great.
Cursor works well.
Gemini CLI is solid.
Fourth, install Chrome DevTools MCP.
Run the NPX command or add it to your config.
Fifth, test Chrome DevTools MCP on something simple.
A local dev server.
A form.
A button.
See it work.
The future of coding is not just writing code.
It’s writing code that gets tested automatically through Chrome DevTools MCP.
Debugged automatically.
Optimized automatically.
With real browser feedback.
Real runtime data.
Real user scenarios.
That’s what Chrome DevTools MCP enables.
And that’s why it’s insane.
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Chrome DevTools MCP FAQs
What is Chrome DevTools MCP?
Chrome DevTools MCP is an open standard that connects AI assistants to Chrome DevTools.
It lets your AI see your browser, control it, test code, and debug issues automatically.
How do I install Chrome DevTools MCP?
Install Node.js version 22 or higher and latest Chrome.
Then run Chrome DevTools MCP with NPX or configure it in your AI client.
Does Chrome DevTools MCP cost money?
No.
Chrome DevTools MCP is completely free.
It’s an open standard from Google.
What AI tools work with Chrome DevTools MCP?
Chrome DevTools MCP works with Claude Code, Cursor, Gemini CLI, and GitHub Copilot.
Any AI tool that supports MCP can use Chrome DevTools MCP.
Is Chrome DevTools MCP safe to use?
Yes, but use it in isolated mode.
Don’t connect Chrome DevTools MCP to your main browser profile.
Create a separate user data directory for testing.
Can Chrome DevTools MCP fix bugs automatically?
Yes.
Chrome DevTools MCP lets AI see runtime errors, propose fixes, and test them automatically.
You still approve the changes.
What do I need to run Chrome DevTools MCP?
Node.js version 22 or higher and latest stable Chrome browser.
That’s all you need for Chrome DevTools MCP.
Final Thoughts On Chrome DevTools MCP
Chrome DevTools MCP is changing how we code.
AI doesn’t just write code anymore.
It tests code through Chrome DevTools MCP.
Debugs code.
Optimizes code.
All automatically.
All in real time.
This is the future.
And Chrome DevTools MCP is available right now.
Don’t sleep on this.
Get ahead.
Install Chrome DevTools MCP today.
Start testing.
Start building.
Start shipping better code faster.
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Go install Chrome DevTools MCP right now.
Test it on your next bug.
See how much time it saves you.
The future of coding is here.
And it’s called Chrome DevTools MCP.
