Top 5 MCP Servers for Vibe Coding

If you’re building with AI and still doing everything manually, this thread will change your workflow forever.

Bookmark this ↓ 1. What’s an MCP?

MCP = Model Context Protocol

Think of MCP like USB-C, but for AI.

It connects your AI agent to tools, databases, docs, and services in one clean setup.

Just like USB-C lets one cable do it all, MCP gives Cursor clean access to what it needs so it can actually work like a real dev.

No more dumping context manually.

This is how AI actually gets useful.

I just reverse-engineered how Lovable's top users build apps 10x faster.

Turns out, It's not about writing longer prompts.

It's about this structured prompting system nobody talks about ↓ @lovable_dev 1/ Create a Knowledge Base before you build

Include these in your project settings:

• Project Requirements Document (PRD)
• User flow explanation
• Tech stack details
• Design guidelines
• Backend structure

The clearer your context, the better your results.

If you’re using @lovable_dev to build apps, read this first

This is everything I wish I knew before starting ↓ 1. Nail your first prompt

I always start inside my custom GPT, SnapPrompt, and get the full prompt for my landing page first.

This includes layout, structure, typography, and design style. I just copy-paste that into Lovable with a design reference attached and it gives me a clean starting point.

Claude with CodeRabbit + TaskMaster is crazy good.

Now you can Plan with AI, Code with AI, Review with AI.

Here’s the full workflow I use to build MVPs fast and stress-free ↓ 1/ The workflow (quick summary)

This is the exact system I follow:
• Plan clearly (PRD) with @ChatGPT
• Break it down using TaskMaster
• Execute one task at a time using Claude Code inside Cursor
• Review everything with @coderabbitai

Let’s go deeper ↓

Want to turn your MVP into a mobile app without rebuilding the backend?

START HERE.

Most founders waste months rebuilding for iOS + Android.

This is the exact workflow I used to take BrainDump from web (Lovable + Supabase) → mobile (Rocket) in hours. 1/ Start with a working web app

I built BrainDump’s MVP using Lovable + Supabase.

Auth, DB, UI, RLS policies, all live and working.

Your web app is the foundation. Don’t touch the backend yet.

Want your SaaS to survive launch day?

START HERE.

The biggest problem with vibe coding is security. Too many people ship unsecure, unoptimized apps that get hacked or run painfully slow.

Here’s how to make sure your SaaS is launch-ready before you hit publish ↓ 1. Rate limit your endpoints

If you skip this, bots or bad actors can hit your backend 100s of times per second.

This can:
• Crash your database
• Drain your Supabase usage
• Spike costs or open you to attacks

Tools to use:
• Supabase Edge Functions with a rate limiter
• Vercel Middleware
• Basic IP throttling with Next.js middleware

My full vibe coding workflow to build MVPs faster

I don’t use Figma.
I don’t write every line of code.
I don’t need big teams.

Here’s the exact AI-powered system I use to plan, build, and launch real MVPs in 3 weeks for clients ↓ 1. Plan using ChatGPT

Before building, I plan fast:
- ChatGPT voice to brainstorm the client idea
- Generate docs (PRD, UI Dev Plan, DB design)
- MoSCoW Method to define essentials

This gives:
- A clear feature list
- A lean scope
- Zero ambiguity

CodeRabbit + MCP = game-changing code reviews 🤯

They just cracked the biggest problem in AI code reviews.

Here’s how MCP integration changes everything ↓ 1/ The problem with most AI reviews

AI tools usually check code in isolation.
They can flag syntax, style, and structure, but they don’t know:

• Why the feature exists
• How it fits into your product
• What rules your team follows

It’s like having a reviewer who has never seen your app.

Lovable with MidJourney is scary good.

I can’t stop building beautiful hero sections in minutes inside @lovable_dev.

Full breakdown below 👇 Disclaimer: This is just for learning. I didn’t make extra changes on top of the original design. Always take inspiration, never copy someone’s work exactly :)

1/ Start with visual inspiration

I found this layout from Dann Petty’s portfolio and instantly knew I wanted to rebuild it.

Great structure. Clean font. Strong first impression.

x.com/DannPetty/stat…

CodeRabbit CLI is here 🤯

Paired with Claude Code, it turns AI-generated code into safe, clean, production-ready software in minutes.

Here is how it works ↓ 1/ The problem

Most people build with Claude Code, ship what looks fine, and hope it works.

→ AI writes clean-looking code
→ You deploy it
→ Users find bugs you missed
→ You spend hours debugging

Speed is useless if the code breaks.

Claude Code + Playwright MCP can now design, debug, and ship production-ready landing pages in minutes.

I’ve tested this workflow on real projects and it’s faster than any manual setup I’ve ever tried.

Here’s the full breakdown ↓ 1/ Why this matters

Most people see Claude Code as a tool for creating the backend.

With Playwright MCP, it turns into a front-end engine:
• Builds layouts from prompts
• Opens a real browser to preview results
• Tests every breakpoint automatically
• Finds bugs, fixes them, and retests

This is design, testing, and QA happening in one place.

What is Vibe Marketing?

I’ve been deep-diving into this lately.

It’s the biggest unfair advantage I’ve seen since early FB ads in 2008 or the App Store in 2010.

Here’s what I’ve learned so far ↓ 1/ What is Vibe Marketing?

It’s where AI + automation meet modern marketing.

At the core:
• Vibe coding tools (Lovable, Cursor, Claude Code)
• AI agent workflow tools (Gum Loop, Make, Zapier)

Together → they automate and scale processes humans used to grind through manually.

We’ve built 20+ MVPs for our clients with AI

The biggest thing I learned about AI coding is… it needs a detailed plan.

Most people jump straight into coding. That’s a mistake.

Documentation is 80% of the work. Implementation is only 20%.

Here’s how I build my MVPs:

🧵👇 1/ Plan Before You Code

AI tools are powerful, but they need guidance to perform well. A clear roadmap reduces hallucinations, debugging errors, and unnecessary revisions.

Before I even open Cursor, I have these docs ready:

- Project Requirements Doc
- Tech Stack Doc
- App Flow Doc
- Frontend Guidelines Doc
- Backend Structure Doc

I used to create these manually. Now I use @codeguidedev to generate them in minutes. Saves time, reduces hallucinations, and makes everything smoother.

Cursor + Supabase + MCP = AI-powered MVP development at its best.

This is how I’m shipping client MVPs faster, cheaper, and smarter with AI handling the backend, database, and migrations.

Let’s break it down. 1/ The Problem with Traditional Development

Building MVPs the old way takes too much time:
- Setting up the database
- Writing boilerplate code
- Managing API integrations
- Handling migrations manually

But with Cursor + Supabase + MCP, AI automates most of this, letting you focus on shipping fast.

Cursor and Claude Code make building fast. But without a system, your MVP will break.

Here are 7 lessons I learned after building 20+ MVPs with Lovable, Cursor, and Claude Code.

Bookmark this if you want to ship clean, not just fast. 1/ The wrong stack will break your MVP

Cursor doesn’t code like humans. It replicates patterns it’s seen before.

So if your stack is rare or messy, it’ll hallucinate.

What works for me:
• Next/React for frontend
• Supabase for backend
• Stripe for payments
• Vercel for deploying

Cursor flows clean when your stack is AI-native.

Top 5 MCP Servers for Vibe Coding

If you’re building with AI and still doing everything manually, this thread will change your workflow forever.

Bookmark this ↓ 1. What’s an MCP?

MCP = Model Context Protocol

Think of MCP like USB-C, but for AI.

It connects your AI agent to tools, databases, docs, and services in one clean setup.

Just like USB-C lets one cable do it all, MCP gives Cursor clean access to what it needs so it can actually work like a real dev.

No more dumping context manually.

This is how AI actually gets useful.

Every AI Tool I Use to Build MVPs FAST for My Clients

As an MVP agency owner, speed and efficiency are everything.

Here’s my go-to AI stack that has completely changed how I build MVPs: 1/ @lovable_dev

I start almost every project in Lovable.

It lets me:
• Build UIs quickly with built-in integrations
• Sync directly with Supabase for backend functionality
• Integrate Stripe for payments and OpenAI for AI features

Example: I built a subscription-based app where the entire UI/UX, auth, payments, and dashboards were set up in a few hours. The time saved is insane.

Here’s my @lovable_dev + @cursor_ai workflow for building MVPs.

Nothing beats this combo.

I’ve shipped 12+ real products using it. Here’s the full breakdown ↓

And if you want the detailed video, comment “lovable” and follow. I’ll DM it to you. 1/ Start in @lovable_dev

Every MVP starts inside Lovable.

Why? It lets me build full apps visually with:
• Supabase auth (email, Google, magic links)
• Stripe integration (checkout, subscriptions)
• OpenAI-powered features
• Fully responsive frontend flows

This saves me days of manual coding.

This is the most efficient Cursor workflow I’ve used.

If you’re building MVPs fast, this combo is unbeatable:

TaskMaster + Cursor + CodeRabbit

Bookmark this. 1/ Why you need TaskMaster

Cursor is powerful, but as your MVP grows, you’re juggling:

• Feature backlog
• Refactors
• Bugs
• AI forgetting context

TaskMaster fixes that.

It acts like a project manager inside your terminal.

GitHub Link: github.com/eyaltoledano/c…

How I designed and built a PWA using AI

The client wanted a mobile app, but I recommended a PWA for faster development and lower costs.

Here’s how I designed, built, and launched it using AI ↓ 1/ Planning the Idea With AI

Every project starts with a clear understanding of the problem, solution, and audience.

I used @ChatGPTapp to turn the client’s rough idea into a structured brief.

Prompt:
“I’m starting a team productivity tracker for remote teams. It should help managers track work hours, task completion, and team efficiency. Convert this into a concise project brief.”

ChatGPT structured it into:
- Problem: Teams struggle to track and improve their daily work
- Solution: A web-based productivity tracker with AI-generated insights
- Target Users: Remote teams handling multiple projects

Having a well-defined brief saved time and avoided confusion later.

I can’t stop building beautiful hero sections inside @lovable_dev
This one turned out insane.

Credits: @DannPetty
Full breakdown below ↓ 1/ Start with visual inspiration

I found this layout from Dann Petty’s portfolio and instantly knew I wanted to rebuild it.

Great structure. Clean font. Strong first impression.

https://x.com/DannPetty/status/1936107118353895663