How to accelerate development with AI: Crawl4AI, Supabase, and Brave Search

Imagine you have an idea for an app: a chatbot, a task tracker, or even a help desk assistant. But how do you put it all together, especially if you're not a programming guru? 🤯

Here they come on stage MCP servers — your team of superheroes that turns an ordinary AI observer into a real developer. They help you find the information you need, manage databases, and get useful tips from the Internet. All this — without pain and long hours of manual labor.

In this article, we will introduce three cool MCP servers that make development faster and easier:

• Crawl4AI RAG (search and documentation collection)

• Supabase (database work)

• Brave Search (search for information on the Internet)

🤖 What is an MCP server?

MCP (Model Context Protocol) is a protocol that allows your AI assistant (for example, Cursor or GitHub Copilot) to go beyond the local context. It connects to external sources: websites, databases, search engines, and provides the necessary information.

It's like pumping up your smartphone with apps: now it not only makes calls, but also takes photos, counts steps, and brews coffee ☕ (well, almost).

1. 📚 Crawl4AI RAG: AI librarian

This server is like a genius archivist. It scans sites (for example, Supabase or Pydantic AI documentation), saves content, and allows AI to quickly find the right pieces of information.

What it does:

• Scans websites and sitemaps

• Divides text into logical blocks

• Stores data in Supabase + vector database

• Finds the necessary info on AI request

Example of use:

AI writes code for Supabase, but doesn't know how to create a table? Crawl4AI will prompt the right piece of documentation and AI will handle the task ✨

How to run:

• Install Docker or Python 3.12+

• Sign up for Supabase (free)

• Create .env with keys

• Launch:

git clone https://github.com/coleam00/mcp-crawl4ai-rag.git
cd mcp-crawl4ai-rag
docker build -t mcp/crawl4ai-rag --build-arg PORT=8051 .
docker run --env-file .env -p 8051:8051 mcp/crawl4ai-rag

Connect to AI (e.g. Cursor):

"mcpServers": {
  "crawl4ai-rag": {
    "transport": "sse",
    "url": "http://localhost:8051/sse"
  }
}

2. 📂 Supabase MCP Server: Data Manager

This server makes database management as simple as "Okay, Google." Instead of complex SQL queries, you can just say AI: "Create a table with 'task' and 'due date' columns" - and voila!

Features:

• Supabase Project Management

• Creating and modifying tables

• Executing SQL queries

• Receiving logs and autogenerating types

How to run:

• Install Node.js

• Get Supabase token (in dashboard > Settings > Tokens)

• Add to the config:

"mcpServers": {
  "supabase": {
    "command": "npx",
    "args": [
      "-y",
      "@supabase/mcp-server-supabase@latest",
      "--access-token",
      "your_token"
    ]
  }
}

Example:

Want to make a task tracker? Just describe the structure, and AI will create tables, types, and migrations for you 🎯

3. 🕵️ Brave Search MCP Server: Internet detective

When you need to find something unusual — examples, experience of other developers, frameworks — Brave Search comes into play.

Functions:

• Internet search

• Filter support (freshness, pages)

• Used via Brave API

How to connect:

• Get an API key at api.search.brave.com

• Add to the config:

"mcpServers": {
  "brave-search": {
    "command": "npx",
    "args": ["-y", "@modelcontextprotocol/server-brave-search"],
    "env": {
      "BRAVE_API_KEY": "your_key"
    }
  }
}

Example:

Want to know how Supabase is used with Pydantic? AI will find an article, summarize it, and embed it in the code. 🔍

How to combine all this? 🧩

Let's say you want to make a chatbot that answers questions about the company's directory:

1. Crawl4AI — scans documentation and puts pieces in Supabase

2. Supabase — creates tables and manages the database

3. Brave Search - finds examples of integrations and best practices

As a result, AI can build a chatbot itself using Streamlit and Pydantic AI.

Where to start?

1. Register in Supabase

2. Get an API key in Brave Search

3. Install Cursor, GitHub Copilot, or another tool with MCP support

4. Start with Supabase — it's the easiest 😇

And then — along the beaten track. Start with a simple to-do, and then try to build a cool AI bot that knows everything about your company!