The Ultimate Guide to Postgres MCP for Claude Desktop

Connecting PostgreSQL to a cloud desktop via the Model Completion Protocol (MCP) opens up new possibilities for using the powerful features of the cloud with your database information.

Introduction

If you’ve ever been stuck waiting for your data team to run a quick SQL query or worse, had to wrestle with writing your own you already know how frustrating traditional analytics workflows can be. But what if you could simply ask your database questions in plain English and get instant insights?
That’s exactly what Postgres MCP (Model Context Protocol for PostgreSQL) brings to the table when integrated with Claude Desktop. This setup not only saves valuable time but also ensures your database remains secure while supercharging team productivity.
In this post, we’ll break down what Postgres MCP is, why it matters, real-world applications, and a step-by-step guide to setting it up. Continue reading “The Ultimate Guide to Postgres MCP for Claude Desktop”

Gemini CLI and Gemini Code Assist: Comprehensive SDLC Use Cases and Implementation Guide

Gemini CLI and Gemini Code Assist are AI tools that can support work across the SDLC. Used thoughtfully, they help with requirements capture, code and test generation, refactoring, CI/CD hooks, and operational workflows. This guide outlines where they fit, how to integrate them with existing processes, and what to validate during pilots before wider rollout. Before the use-cases deep-dive, let’s have a glance at both of these. Continue reading “Gemini CLI and Gemini Code Assist: Comprehensive SDLC Use Cases and Implementation Guide”

MCP: The Model Context Protocol Powering the Next Wave of AI Workflows

As enterprises and developers adopt LLMs (Large Language Models) at scale, the challenge is no longer just about “which model to use” — but how to use the right model with the right data context, securely and efficiently.

This is where Model Context Protocol (MCP) comes in. Continue reading “MCP: The Model Context Protocol Powering the Next Wave of AI Workflows”