From Neural Networks to the AI Ecosystem
Back in the early 2000s, while most of my classmates were building CRUD apps, I was tinkering with neural networks in our university lab. Nobody really cared about AI back then. It was just me and a bunch of math papers. But something about teaching machines to recognize patterns felt like the future.
That early obsession with code led me to found ProCoders, a 200+ person dev shop built as a place where engineers can grow and where high-quality software gets created with love and dedication. Over the years we shipped 500+ projects, from fintech platforms to healthcare systems.
Fast forward to 2020. I started training GPT-style models for sentiment analysis, still before the whole AI explosion. It was clunky, expensive, and honestly kind of magical when it worked. Most people thought I was crazy for spending weekends fine-tuning transformers. A year later, everyone was talking about ChatGPT.
Why We Built MCPize
The AI revolution created amazing models. But models alone are just brains in jars. They can think, but they can't reach out and touch anything. They can't query your database, call your API, or read your Figma file. What's missing is the connective tissue, the ecosystem that lets AI actually do things in the real world.
Then Anthropic released MCP, the Model Context Protocol. For the first time, there's a real, open standard for AI to talk to the outside world. Databases, APIs, tools, services, all connected through one protocol. That's when it clicked.
Over the years at ProCoders, we built hundreds of integrations. Each project revealed the same problem: connecting AI to real-world data was always custom, fragile, and expensive. MCP changes that. And we think the people who build that connective tissue deserve to get paid well for it.
That's why MCPize exists. We're building the marketplace where developers create MCP servers, ship them to the world, and earn real revenue. Not another platform that captures all the value, but one that makes sure the builders win.