MCP

Introduction This article compiles my notes on an excellent architectural deep-dive by Jeffrey Richter. He outlines how to architect robust AI Agents using Google’s Agent-to-Agent (A2A) protocol for coordination and Anthropic’s Model Context Protocol (MCP) for tool integration. It is a must-read for anyone moving beyond simple chatbots to complex agentic workflows. You can read the original article here. ...

Introduction In the ever-evolving landscape of AI and machine learning, Google’s MCP Toolbox for Databases stands out. This open-source server enables developers to connect generative AI applications to enterprise databases, facilitating prompt-based querying and natural language processing (NLP). Whether you’re setting up your LLM on-premises using OLLAMA or leveraging providers like Gemini, Claude, or OpenAI, this toolbox offers a versatile and powerful solution. Lets explore it in detail. ...