Why I Built GPTApps

I'm a software engineer who fell hard for AI. When I discovered the Model Context Protocol, I saw something incredible, a way to connect AI models to the real world through tools and APIs. The possibilities felt endless.

Then reality hit. Building MCP servers meant wrestling with API architectures, authentication flows, security concerns, and edge cases I'd never even considered. Designing interfaces for ChatGPT? That's its own rabbit hole. And don't even get me started on the hosting headaches.

So I did what any slightly obsessive engineer would do. I spent a lot of time to figure it all out. I built things, watched them break, and built them better. I learned what the documentation doesn't tell you and what actually works in practice.

When OpenAI announced ChatGPT Apps, I knew this was going to be massive. We're not just talking about another feature, this is going to reshape how we interact with search engines and information itself.

But here's what bothered me: the technical barrier meant only a small group of developers and well-funded companies would get to participate. Everyone else would be locked out of what could be the biggest platform shift since mobile apps.

That didn't sit right with me. I'd already done the hard work of understanding MCP inside and out. What if I could package all that knowledge into something others could actually use?