The Power of MCP: From E-Commerce Deployment to Building a CRM in 9 Hours

A few days ago, I did something wild.

I deployed my E-commerce platform on Kubernetes…
but I didn’t touch a single kubectl apply command.

No YAML headaches.
No manual service exposures.
No endless copy-pasting of configs.

Instead, I had an MCP server do all the heavy lifting.

Shoutout to the Source

Before I dive in, I’ve got to give full credit where it’s due.
I first learned about MCP and how to set it up from Shubham Londhe’s video on Kubernetes MCP Server.
That tutorial was the reason I even knew this was possible — so thanks, Shubham, for opening that door!

The “Normal” Kubernetes Life vs. MCP Magic

If you’ve deployed apps to Kubernetes the traditional way,
you know the drill:

• Write deployment YAMLs for every service.

• Write service YAMLs to expose them.

• Apply them one by one.

• Debug why your pod is in CrashLoopBackOff at 3 AM.

• Repeat until your coffee turns into regret.

Now… imagine skipping all of that.

That’s MCP.

With just the setup done once, MCP deployed my project automatically — no kubectl spamming, no YAML hell.

Pushing the Limits

My E-commerce deployment was my warm-up.
For the real test, I decided to create a CRM from scratch and let MCP handle it end-to-end.

My E-commerce deployment was my warm-up. For the real test, I decided to create a CRM from scratch and let MCP handle it end-to-end.Here’s what happened:

• MCP fully Dockerized my project without me writing a single Dockerfile.

• It wrote ./start and ./stop scripts.

• It generated all the Kubernetes YAML files automatically.

• It deployed the whole thing — without me manually touching kubectl.

I sat there thinking:
“This is either magic… or the beginning of me becoming extremely lazy.” 😅

From a Month of Work… to 9 Hours ⚡

Normally, building and deploying something like this CRM would take me around a month.
With MCP + AI, I had Version 1, production-ready in 9 hours.

And before you think I just clicked a button and went for a nap — no.
I had to:

• Give AI the right prompts.

• Configure MCP properly.

• Make sure it met my company’s needs.

But the speed? Unmatched.
We’re talking about an 80% faster delivery time. , 25% reduced market delivery time

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See It for Yourself

The CRM isn’t perfect — there are still a few small bugs — but it’s ready for real use.
Check out the repo here:
🔗 CRM Project GitHub Repo

My Takeaway

This experience completely changed the way I look at AI in development.
It’s not here to replace developers — it’s here to remove the boring parts so we can focus on what really matters:
building amazing products, solving real problems, and delivering value faster than ever.

AI + MCP + Kubernetes = 🚀

And it all started with watching Shubham Londhe’s video — proving that sometimes, the right tutorial can change how you build forever.