Most people still use AI for development like this:
Copy → paste → explain → repeat.
Start a new chat, and you’re back to square one. You end up explaining your entire system all over again. You walk the AI through your database schema, your infrastructure, and the decisions you’ve already made just to get it up to speed.
Even tools like Claude Code can only see your project. Your database, your infra, and your past context all stay invisible.
So you keep filling in the gaps manually every time you work with AI.
And that’s where things start to break. The AI ends up guessing instead of actually understanding what’s going on.
But development with AI doesn’t have to work like this.
Enter MCP.
Instead of feeding context manually, you connect your tools directly into your project.
Your database becomes queryable.
Your GitHub issues and PRs are accessible.
Your codebase is readable.
Your docs and designs are visible.
Now your workflow becomes:
“Fix the login bug from issue #87.”
That’s it. No long paste. No re-explaining.
I run MCP servers via npm across my stack. Once everything is connected, the AI stops acting like a chatbot and starts acting like a teammate.