PostgreSQL Database Administration with MCP

A comprehensive database administration project demonstrating Docker containerization, PostgreSQL setup, schema design, and database performance optimization using Model Context Protocol (MCP) tools.

📋 Table of Contents

• Project Overview
• Features
• Architecture
• Database Schema
• Technologies Used
• Prerequisites
• Installation & Setup
• Usage
• Performance Optimization
• Database Audit Results
• Project Structure
• Key Learnings
• Documentation
• Contributing
• License

🎯 Project Overview

This project showcases modern database administration practices through a production-ready PostgreSQL setup. It demonstrates:

• Containerized Database Infrastructure: Docker-based PostgreSQL 16 deployment
• Schema Design: Normalized e-commerce database with 4 core tables
• Performance Optimization: Automated database auditing and index recommendations
• Health Monitoring: Cache hit rate analysis and query performance metrics
• MCP Integration: Database operations using Model Context Protocol tools

Database Statistics

✨ Features

• 🔧 Docker Containerization: Isolated PostgreSQL 16 environment
• 📊 Database Auditing: Automated health checks and performance analysis
• 🔍 Index Optimization: Identifies missing indexes on foreign keys
• 📈 Performance Metrics: Cache hit rate monitoring and query analysis
• 🛠️ Automated Scripts: Python-based database management utilities
• 📝 Comprehensive Documentation: Schema docs, quick start guides, and portfolio resources

🏗️ Architecture

Database Schema

The project implements a normalized e-commerce database with the following structure:

Core Tables

1. customers - Customer information with registration details, country, and tier
2. orders - Order records with status, amounts, and regional data
3. products - Product catalog with categories, pricing, and stock levels
4. order_items - Junction table linking orders to products with quantities