Lately, I've seen more developers online starting to side eye MCP. There was a on how different teams are using goose, an AI agent. The point is MCP is a protocol. What you build on top of it can serve all kinds of workflows.
But I get it... let's talk about the dev-specific ones that are worth your time.
GitHub: More Than Just the CLI
If your first thought is "why would I use pulls up-to-date docs, code examples, and guides right into your AI agent's brain. You just ask questions and get answers like:
- "How do I create a payment with the Square SDK?"
- "What's the auth flow for Firebase?"
- "Is this library tree-shakable?"
It doesn't rely on stale LLM training data from two years ago. It scrapes the source of truth right now. Giving it updated... say it with me... CONTEXT.
Developer "flow" is real, and every interruption steals precious focus time. This MCP helps you figure out new libraries, troubleshoot integrations, and get unstuck without leaving your IDE.
Repomix: Know the Whole Codebase Without Reading It
Imagine you join a new project or want to contribute to an open source one, but it's a huge repo with lots of complexity.
Instead of poking around for hours trying to draw an architectural diagram in your head, you just ask your agent:
"goose, pack this project up."
It runs is a must-have for frontend devs. You're building a new form/widget/page/whatever. Instead of opening your browser, typing stuff in, and clicking around, you just tell your agent:
"Test my login form on localhost:3000. Try valid and invalid logins. Let me know what happens."
Chrome opens, test runs, screenshots captured, network traffic logged, console errors noted. All done by the agent.
This is gold for frontend devs who want to actually test their work before throwing it over the fence.
Could you script all this with CLIs and APIs? Sure, if you want to spend your weekend writing glue code. But why would you want to do that when MCP gives you that power right out of the box... in any MCP client?!
So no, MCPs are not overhyped. They're how you plug AI into everything you use: Slack, GitHub, Jira, Chrome, docs, codebases - and make that stuff work together in new ways.
Recently, Anthropic called out the , enabling and disabling as you need them.
But I digress.
Step outside the IDE, and that's when you really start to see the magic.
P.S. Happy first birthday, MCP! 🎉
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