Can MCP Become the DNS of Agentic AI?

This week, the AI world’s buzzing about a shiny new toy from Anthropic: the Model Context Protocol (MCP). Sure, Manus is stealing some spotlight, but MCP’s got everyone from developers to tech pundits chattering. With AI agents popping up like daisies and every web service itching to join the Agentic party, MCP’s making waves. But can it really become the “DNS” of Agentic AI? Let’s dig in.

AI agents—those clever little bots powered by Large Language Models (LLMs)—are already wizards at grokking service definitions and APIs. Integrations? Piece of cake. So, why’s MCP got everyone’s attention? It’s not just another protocol—it’s a game-changer in three big ways.

1️⃣ Formalized Awesomeness: MCP takes the chaos of service capabilities and gives them structure. It’s like a universal plug socket—services expose what they can do, and Agentic workflows can snap right in. No more fumbling with mismatched cords.

2️⃣ Discovery Made Simple: Ever wish services came with a “Hi, I’m useful!” sign? MCP does that. It’s a directory for agents to find what’s out there and how to use it—no guesswork, just plug and play.

3️⃣ Maintenance Magic: Integrations breaking mid-workflow? Nightmare fuel. MCP standardizes interfaces, so service providers can publish updates without sending everything crashing down. Stability? Yes, please.

Here’s the rub, though: standardization’s only as good as its adopters. Without a crowd jumping on board, MCP risks being just another cool open-source project gathering dust. Will it take off? The jury’s out. LLMs already handle APIs like champs, so MCP’s got to prove it’s the must-have upgrade. I’m rooting for it—imagine an Agentic web where services connect as seamlessly as domains resolve via DNS. For now, we wait, we watch, and we geek out.

About the Author:
Hari Subramanian is a visionary tech leader and Co-Founder of Niti AI, where he has been pioneering AI-driven tools for product managers and growth teams since August 2022. Based in Bengaluru, India, Hari brings over two decades of experience from top-tier tech giants like Uber, Amazon, and VMware. At Uber, he led a 100+ member engineering team focused on customer obsession, transforming defective experiences into delightful digital solutions. Previously, he spearheaded data infrastructure and migration initiatives at Amazon Web Services and VMware, contributing to scalable cloud and AI innovations. A University of Kansas graduate with an MS in Computer Science, Hari is an inventor with over 14 patents and a thought leader in big data, AI, and fintech. He is actively involved in reimagining dev-infra for an AI-first world, and actively supports privacy-preserving tech as an iSPIRT volunteer.