Hours of debugging.
Gone.
Your AI can now see runtime errors.
Test your code.
Fix bugs.
All automatically.
In minutes.
Not hours.
This is Chrome DevTools MCP.
And I’m about to show you exactly how to use it.
Watch the video tutorial below 👇
NEW Google Chrome Dev Tools MCP is INSANE! 🤯
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Understanding Chrome DevTools MCP
I’m Julian Goldie.
CEO of Goldie Agency.
Let me explain what Chrome DevTools MCP actually is.
MCP stands for Model Context Protocol.
It’s an open standard that connects AI assistants to external tools.
Think of Chrome DevTools MCP like this.
Your AI can write code.
But it can’t see what happens when that code runs.
It’s basically coding blind without Chrome DevTools MCP.
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.
Except Chrome DevTools MCP makes it happen automatically.
And way faster.
What Chrome DevTools MCP Gives You
Google just launched the public preview of Chrome DevTools MCP in September 2025.
This is brand new.
The NPM package is live.
Version 0.3.0 of Chrome DevTools MCP.
You can install it right now.
Here’s what Chrome DevTools MCP gives you.
Navigation tools.
Your AI can open pages and wait for elements to load through Chrome DevTools MCP.
Automation tools.
Click buttons and fill forms.
Performance tracing.
Record and analyze traces automatically with Chrome DevTools MCP.
Console monitoring.
Read every error in real time.
Network inspection.
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.
Step 1: Install Requirements For Chrome DevTools MCP
Here’s exactly how to set up Chrome DevTools MCP.
Step by step.
First, you need Node.js version 22 or higher.
If you don’t have it, go download it.
Install it.
This is required for Chrome DevTools MCP.
Second, you need the latest stable Chrome browser.
Update Chrome if needed.
Chrome DevTools MCP requires the latest version.
That’s it for requirements.
Just Node.js 22 and latest Chrome.
Chrome DevTools MCP keeps the setup simple.
Step 2: Choose Your AI Client For Chrome DevTools MCP
Next step for Chrome DevTools MCP.
Pick an AI coding assistant.
Chrome DevTools MCP works with Claude Code.
Works with Cursor.
Works with Gemini CLI.
Works with GitHub Copilot.
Any AI tool that supports MCP can use Chrome DevTools MCP.
I use Claude Code with Chrome DevTools MCP.
But pick whatever you’re comfortable with.
They all work the same way with Chrome DevTools MCP.
Step 3: Install Chrome DevTools MCP
Now install Chrome DevTools MCP itself.
You have two options.
Option one for Chrome DevTools MCP.
Run it with NPX.
Just type NPX chrome devtools MCP latest.
It runs directly.
No installation needed.
Option two for Chrome DevTools MCP.
Configure it in your AI client.
Add the MCP server.
Point it to NPX chrome devtools MCP latest.
Save the config.
Both options work for Chrome DevTools MCP.
I prefer the config method.
Because it’s ready whenever I need Chrome DevTools MCP.
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Step 4: Launch Chrome DevTools MCP
Once Chrome DevTools MCP is configured, 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.
That means no visible browser window.
Or you can watch it work.
I recommend watching Chrome DevTools MCP the first few times.
Because it’s wild to see.
Your AI literally controlling your browser.
Clicking buttons.
Filling forms.
Reading errors.
All through Chrome DevTools MCP.
Step 5: Test Chrome DevTools MCP On Something Simple
Start simple with Chrome DevTools MCP.
Don’t try to automate everything on day one.
Pick something basic.
A local dev server.
A simple form.
A button click.
Tell your AI to test it using Chrome DevTools MCP.
Watch what happens.
Browser opens.
AI navigates to your page.
Interacts with it.
Reports back.
This is how you learn Chrome DevTools MCP.
Start small.
Get comfortable.
Then scale up.
Real Example: Debugging A Form With Chrome DevTools MCP
Let me walk you through a real example of Chrome DevTools MCP.
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.
Without Chrome DevTools MCP, I’d spend hours on this.
Opening DevTools manually.
Checking logs.
Trying fixes.
Testing again.
But with Chrome DevTools MCP, I just tell my AI to debug it.
The AI starts working.
Browser opens through Chrome DevTools MCP.
Navigates to localhost 8080.
AI fills in the username field.
Fills in password field.
Clicks submit button.
Form tries to submit.
Request goes out.
Comes back with 500 error.
Chrome DevTools MCP catches this in the network tab.
AI also checks the console through Chrome DevTools MCP.
Console shows failed to POST to slash API slash login.
The AI reads all of this.
Then tells me exactly what’s wrong.
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.
AI suggests the fix.
Change form action from slash API slash login to slash API slash submit login.
I make the change.
Tell AI to test again using Chrome DevTools MCP.
Browser refreshes.
AI fills form again.
Clicks submit.
This time request goes to the right endpoint.
Returns 200 success.
Console shows no errors.
Form works perfectly.
Chrome DevTools MCP confirmed the fix.
Total time.
Two minutes.
That’s the power of Chrome DevTools MCP.
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Use Case 1: Performance Testing With Chrome DevTools MCP
Let me give you more real use cases for Chrome DevTools MCP.
Performance testing.
Your page loads slow.
Users complain.
But you don’t know why.
With Chrome DevTools MCP, tell your AI to run a performance trace.
AI opens browser through Chrome DevTools MCP.
Starts recording.
Loads your page.
Stops recording.
Analyzes the trace.
Then tells you exactly what’s slowing things down through Chrome DevTools MCP.
Maybe render blocking scripts.
Maybe unoptimized images.
Maybe slow API calls.
Chrome DevTools MCP sees it all.
Gives you actionable recommendations.
You fix the issues.
Test again with Chrome DevTools MCP.
Confirm performance improved.
All done automatically.
Use Case 2: Form Validation Testing With Chrome DevTools MCP
Another use case for Chrome DevTools MCP.
Complex form validation.
You’ve got a checkout form.
Multiple steps.
Lots of validation rules.
Users report they can’t complete checkout.
But you can’t reproduce the bug.
With Chrome DevTools MCP, tell your AI to walk through the entire flow.
AI goes step by step through Chrome DevTools MCP.
Fills first step.
Validates.
Moves to step two.
Fills that.
Validates.
Continues through all steps.
If any validation fails, Chrome DevTools MCP catches it.
Reads the error.
Tells you exactly which rule is broken.
You fix it.
Test again with Chrome DevTools MCP.
Checkout works.
Problem solved.
Use Case 3: Network Debugging With Chrome DevTools MCP
Third use case for Chrome DevTools MCP.
Network errors and CORS issues.
These are painful to debug manually.
With Chrome DevTools MCP, your AI sees the exact network request.
Reads the CORS error through Chrome DevTools MCP.
Checks the headers.
Tells you exactly what’s missing.
Maybe Access Control Allow Origin header.
Maybe credentials setting.
Whatever it is, Chrome DevTools MCP finds it.
You add the missing header.
Test again with Chrome DevTools MCP.
Request succeeds.
Problem solved.
All in minutes.
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Important Security Notes For Chrome DevTools MCP
Let me talk about security with Chrome DevTools MCP.
This is important.
Chrome DevTools MCP gives your AI control over a browser instance.
That’s powerful.
But you need to be careful.
Don’t use Chrome DevTools MCP with sensitive data.
Don’t connect it to your main browser profile.
Use isolated mode with Chrome DevTools MCP.
Create a separate user data directory.
Keep your personal browsing separate.
This way Chrome DevTools MCP can’t access your cookies.
Can’t access your saved passwords.
Can’t access your browsing history.
It runs in its own sandbox through Chrome DevTools MCP.
Safe.
Secure.
Isolated.
Starting Simple With Chrome DevTools MCP
Here’s my advice for getting started with Chrome DevTools MCP.
Start simple.
Don’t try to automate your entire testing suite on day one.
Pick one thing.
One form.
One button.
One page.
Test that with Chrome DevTools MCP.
Get comfortable with how it works.
See the browser open.
Watch the AI interact.
Read the results.
Once you’re comfortable with Chrome DevTools MCP, level up.
Add more complex scenarios.
Multiple pages.
Complex forms.
Full user flows.
Build your skills with Chrome DevTools MCP gradually.
How Chrome DevTools MCP Fits Your Workflow
Here’s how I use Chrome DevTools MCP in my daily workflow.
I write code.
I think I’m done.
But I don’t test manually anymore.
I tell my AI to test it using Chrome DevTools MCP.
AI opens browser.
Runs through the flow.
Tests everything.
If something breaks, Chrome DevTools MCP finds it.
Shows me the error.
I fix it.
AI tests again through Chrome DevTools MCP.
Confirms it works.
Only then do I commit.
This saves me hours every day.
Hours I can spend on strategy.
Architecture.
Complex problem solving.
Not clicking through forms manually.
Chrome DevTools MCP handles the tedious stuff.
I focus on the important stuff.
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Quality Control Still Matters With Chrome DevTools MCP
Here’s something critical about Chrome DevTools MCP.
You’re still in control.
Chrome DevTools MCP is a tool.
A powerful tool.
But you’re the developer.
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 doesn’t replace your judgment.
It enhances your capabilities.
You’re still making the decisions with Chrome DevTools MCP.
You’re just working faster.
More efficiently.
Your Chrome DevTools MCP Action Plan
Here’s your step by step action plan for Chrome DevTools MCP.
Step one.
Install Node.js version 22 if you don’t have it.
Step two.
Update Chrome to latest stable version.
Step three.
Pick your AI coding assistant for Chrome DevTools MCP.
Claude Code, Cursor, Gemini CLI, or GitHub Copilot.
Step four.
Install Chrome DevTools MCP.
Run NPX command or add to config.
Step five.
Test on something simple.
Local server.
Simple form.
Basic interaction through Chrome DevTools MCP.
Step six.
Watch it work.
See the browser open.
See AI interact.
Learn how Chrome DevTools MCP operates.
Step seven.
Scale up gradually.
Add more complex tests.
Full user flows.
Complete automation with Chrome DevTools MCP.
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Chrome DevTools MCP FAQs
What is Chrome DevTools MCP?
Chrome DevTools MCP is a Model Context Protocol that lets AI assistants control Chrome DevTools.
Your AI can see the browser, test code, and debug issues automatically.
How do I install Chrome DevTools MCP?
Install Node.js 22 or higher and latest Chrome.
Then run NPX chrome devtools MCP latest or configure it in your AI client.
Which AI tools work with Chrome DevTools MCP?
Chrome DevTools MCP works with Claude Code, Cursor, Gemini CLI, and GitHub Copilot.
Any tool supporting MCP can use Chrome DevTools MCP.
Is Chrome DevTools MCP free?
Yes.
Chrome DevTools MCP is completely free.
It’s an open standard from Google.
Can Chrome DevTools MCP access my personal data?
Only if you let it.
Run Chrome DevTools MCP in isolated mode with separate user data directory.
This keeps your personal browsing separate.
How long does it take to debug with Chrome DevTools MCP?
Minutes instead of hours.
Chrome DevTools MCP lets AI see runtime errors and test fixes immediately.
Do I need coding experience to use Chrome DevTools MCP?
You need basic development knowledge.
But Chrome DevTools MCP handles the tedious debugging work automatically.
Final Thoughts On Chrome DevTools MCP
Chrome DevTools MCP is changing how we code.
No more manual testing.
No more repetitive debugging.
AI handles that through Chrome DevTools MCP.
You focus on building.
Creating.
Solving real problems.
The future of coding is here.
It’s called Chrome DevTools MCP.
And it’s available right now.
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Go install Chrome DevTools MCP right now.
Test it on your next bug.
See how much time it saves.
The future is here.
And it’s automated.