The Future of AI: A Network, Not a Single Brain (Thanks to MCP)

AI is evolving rapidly! It's shifting away from single, large "smart brains" towards many small "smart parts" that can collaborate. One key new thing that's making this possible is MCP (Model Context Protocol). Imagine MCP as a method by which various smart AI platforms can simply communicate with each other. It was conceived by Anthropic and launched in November 2024. And guess what? OpenAI has even begun using it now! Asking your AI "What's the weather in Pune and remind me to take an umbrella if it's going to rain before my meeting at 3 PM?" Without MCP: AI has one large "brain" for all. Checks weather (One component of Ai). Checks calendar (another component). Attempts to determine whether rain will occur prior to the meeting (internal logic). Schedules a reminder (another internal process). Limitation: These actions are discrete, making it more difficult for correct decisions based on combined information. With MCP: AI employs specialized "tools" (servers) that all communicate in a common language (MCP). Weather Server (using MCP): AI inquires from a weather specialist about Pune's weather forecast. Calendar Server (using MCP): AI queries a calendar administrator about your 3 PM appointment. Logic & Reminder (using MCP): AI easily contrasts the good weather and calendar data and utilizes an alarm specialist to send out a reminder if required. Advantage: Every job performed by a professional, resulting in more precise and productive output via clear communication. So, just like having a team of human experts for different tasks makes a project run smoothly, MCP allows AI to leverage a team of 'AI experts' – specialized tools that can communicate effectively to solve your requests in a smarter and more capable way. In future posts, we'll explore how this exciting protocol is actually being put into action! Image generated by ChatGPT

Apr 4, 2025 - 17:32

The Future of AI: A Network, Not a Single Brain (Thanks to MCP)

AI is evolving rapidly! It's shifting away from single, large "smart brains" towards many small "smart parts" that can collaborate. One key new thing that's making this possible is MCP (Model Context Protocol).
Imagine MCP as a method by which various smart AI platforms can simply communicate with each other. It was conceived by Anthropic and launched in November 2024. And guess what? OpenAI has even begun using it now!

Asking your AI

"What's the weather in Pune and remind me to take an umbrella if it's going to rain before my meeting at 3 PM?"

Without MCP:
AI has one large "brain" for all.

Checks weather (One component of Ai).
Checks calendar (another component).
Attempts to determine whether rain will occur prior to the meeting (internal logic).
Schedules a reminder (another internal process). Limitation: These actions are discrete, making it more difficult for correct decisions based on combined information.

With MCP:
AI employs specialized "tools" (servers) that all communicate in a common language (MCP).

Weather Server (using MCP): AI inquires from a weather specialist about Pune's weather forecast.
Calendar Server (using MCP): AI queries a calendar administrator about your 3 PM appointment.
Logic & Reminder (using MCP): AI easily contrasts the good weather and calendar data and utilizes an alarm specialist to send out a reminder if required. Advantage: Every job performed by a professional, resulting in more precise and productive output via clear communication.

So, just like having a team of human experts for different tasks makes a project run smoothly, MCP allows AI to leverage a team of 'AI experts' – specialized tools that can communicate effectively to solve your requests in a smarter and more capable way.

In future posts, we'll explore how this exciting protocol is actually being put into action!

Image generated by ChatGPT