This NEW Google Gemini MCP Update is INSANE!🤯

Google just dropped something that changes everything for AI coding. Your AI can now see what it builds in real time. No more guessing if your code actually works. And I'm going to show you exactly how to use it to build apps faster than ever before. Okay, Google released this thing called Chrome DevTools MCP and nobody's talking about it, but this is massive. Like actually massive. Here's the problem with AI coding right now. Your AI writes code, but it can't see what happens when that code runs. is like trying to paint with your eyes closed. You have no idea if what you made looks good or terrible. So, what happens? Your AI builds something. You open it. It's broken. You go back, tell the AI what's wrong. It tries again. Still broken. You're stuck in this loop forever. Chrome DevTools MCP fixes this. Your AI can now open a browser, go to your website, check for errors, look at performance all by itself. No more back and forth. No more broken code sitting there for 20 minutes while you debug. And wait until you see what this means for building apps. I'll show you in a second. But first, let me explain how this actually works because it's kind of crazy. So MCP stands for model context protocol. It's basically a way for AI to connect to tools and Chrome DevTools. MCP lets your AI connect directly to Chrome browser tools. The same tools developers use every single day. Your AI can now navigate web pages, fill out forms, check console logs, run performance tests, look at network requests, everything a human developer would do, except it happens automatically. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. Google says coding agents have been programming with a blindfold on. Now the blindfold is off. And that changes everything about how fast you can build stuff. Here's what you can actually do with this. First, you can verify code changes in real time. Your AI writes some code, opens the browser, checks if it works, finds errors, fixes them all without you doing anything. Second, performance testing. You can tell your AI to check how fast your website loads. It will run a full performance test, give you the LCP score, tell you what's slowing things down, suggest fixes, then actually implement those fixes. Third, debugging live pages, got a styling issue, layout broken. Your AI can inspect the DOM, look at the CSS, figure out what's wrong, fix it. Fourth, testing user flows. Your AI can click through your entire app, fill out forms, submit data, make sure everything works end to end. And here's the crazy part. This used to take hours. Now it takes minutes. Let me show you how this actually works in practice. I've been using this with my AI coding setup, and it's insane how much faster things move. So, I use this with Kilo. Kilo is an AI coding tool that works really well with MCP servers. I pair it with GLM 4. 6 model. That's a coding model that's really good at building apps. Here's what I do. I tell the AI to build something, let's say a mind sweeper game, just a random example. The AI writes all the code. Then automatically it uses Chrome DevTools MCP, opens the game in a browser, checks for console errors, looks at performance, tests if everything works. If there's an error, it sees it immediately, goes back, fixes the code, tests again, all without me touching anything. This is huge for front-end development because front end is all about how things look and work in the browser. And now your AI can actually see that. And here's something really smart you can do. Create a rules file for your AI. Tell it to always use Chrome DevTools MCP after writing front-end code. So every time it builds something visual, it automatically tests it, checks for errors, verifies performance. You don't even have to ask. Now, at this point, you might be wondering, okay, this sounds cool, but how hard is it to set up? And that's the best part. It's actually super easy. If you want the full AI coding setup, join my AI profit boardroom. That's where I show you exactly how to set up tools like this, how to automate your business with AI, how to get more customers, how to save hundreds of hours. It's the best place to scale your business with AI automation. Link is in the description, but let me give you the quick version right now. You need an AI coding tool that supports MCP. I use Kilo, but there are others. Then you add the Chrome DevTools MCP server to your config. That's literally it. One config file. Copy paste. Done. Once it's set up, you can use it with any AI model that works with your coding tool. I like GLM 4. 6 because it's really good at coding tasks, but you could use Claude, you could use GPT, whatever works for you. Google also recommends using it with Gemini CLI. That's their command line tool. It's free and it's been fine-tuned to work really well with this MCP. So, if you want to use it for research tasks or general automation, Gemini CLI is probably your best bet. But for coding, I prefer Kilo with GLM. It just works better for building actual apps. Now, here's what I really love about this. It makes AI coding feel way more reliable

because the biggest problem with AI coding is you never know if the code actually works until you test it yourself. And testing takes time. With Chrome DevTools MCP, testing happens automatically. Your AI knows immediately if something broke. It can fix bugs before you even see them. That's a massive timesaver. I've been using three MCP servers regularly. Chrome Dev Tools for browser testing, Context 7 for fetching documentation, and Bite Rover for memory management. Byte Rover is really cool, by the way. It lets your AI create memories of important stuff like architecture, decisions, code patterns you like, things you want it to remember for later. Those memories sync across your team, too. So, everyone's AI has the same context. Think about it like this. You're working on a project for weeks. Your AI learns how you like things done, what frameworks you prefer, what coding style you use. Normally, all that context gets lost when you start a new chat. With Bite Rover, it stays. Your AI remembers everything. And here's where it gets really powerful. You can manually edit these memories. So, if your AI remembers something wrong, you just go in and fix it, like updating a note. Super simple. And those changes sync across your whole team instantly. It's basically like giving your AI a brain that actually works long term instead of forgetting everything every single conversation. This is huge for bigger projects where you need consistency where you can't afford to explain the same things over and over. But Chrome DevTools MCP is probably the most practical one for day-to-day coding because you're always building stuff that runs in a browser. And now your AI can actually see what it builds. Google says they're going to keep improving this over time, adding more features, more capabilities, which makes sense because this is officially supported by Google. It's not some random side project. They're investing in it. And I think we're going to see a lot more tools like this, tools that give AI access to developer environments because that's the missing piece right now. AI can write code, but it can't interact with the environment where that code runs. This fixes that. So, what does this mean for you? If you're building apps with AI, this makes your life way easier. If you're not using AI to build apps yet, this is a good reason to start because the gap between what you can build manually and what AI can build is getting bigger every day. And tools like Chrome, DevTools, MCP, are making AI coding more powerful, more reliable, more useful. All right, here's what you should do next. First, if you want to learn how to make more money with AI, join my free AI money lab. You'll get 50 plus free AI tools, 200 plus chat GPT SEO prompts, over 1,000 free N workflows. You'll learn how to make money with AI agents, how to generate thousands of leads for free with AI. Plus, you get access to a free AI community, free AI course, and proven AI case studies. Link is in the description. Second, if you want the full setup for AI automation and scaling your business, join the AI profit boardroom. That's where I show you exactly how to use tools like Chrome Dave tools MCP. How to automate your business, how to get more customers, how to save hundreds of hours with AI is the best place to scale with AI automation. Third, drop a comment below and tell me if you're going to try Chrome DevTools MCP. Julian reads every single comment, so let him know what you think and subscribe if you want more AI updates like this. I drop new videos all the time showing you the latest AI tools and how to actually use them to make money and grow your business. That's it for today.