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So what is MCP? 
When you hear protocol, people's

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eyes glaze over. 
But trust me, MCP or modular 

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communication protocol is one of
the quiet enablers behind a lot 

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of next Gen. tech we're seeing 
today. 

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OK, and this is from IO, TS, 
robotics and AI. 

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And this is going to change AI. 
This particular protocol is a 

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MCP is a universal translator 
and command system. 

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OK, and it's, but it works 
between systems, devices, and AI

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agents. 
So this is the next evolution. 

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It lets things talk to each 
other in a modular, standardized

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way, even if they're built by 
different vendors for different 

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purposes. 
So in this episode, we're going 

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to explore 10 things MCP enables
in Business Today and why you 

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need to understand why it gives 
you the edge. 

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The Better Business Analysis 
Institute presence, the Better 

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Business Analysis podcast with 
Kinsman Walsh so #1 NCP enables 

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machine to machine 
collaboration. 

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So machines don't just talk, 
they collaborate in a smart 

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factory. 
NCP will allow a robotic arm and

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a conveyor belt and a quality 
control camera to work together 

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seamlessly without being on the 
same platform. 

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So that's really important. 
So what that truly means is that

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as these different companies are
developing their different smart

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devices, think of a smart home 
if you've got it. 

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This protocol is common and is 
being adopted. 

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So it means that, for example, 
remember when you had the iPhone

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plug and A wouldn't plug into 
your Android plug, and we had 

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USBB and we've got C and all of 
that. 

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And then there was different 
types of kind of connectors or 

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even protocols for communicating
against electronic devices. 

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This now makes it standard like 
Bluetooth, for example, or 

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wireless. 
And this is really, really 

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important #2 is it makes these 
AI agents that I've been 

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referring to Interoptable, OK? 
What that means is that 

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different AI tools can share 
tasks and data through MCP. 

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You have to step back to think 
about what that means. 

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And I'll, I'll lead you through 
an example. 

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An AI that generates, say, 
maintenance schedules, OK, can 

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pass commands via MCP to another
AI agent that triggers alerts 

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and schedules technicians to 
visit. 

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There's no manual hand off 
needed. 

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So instead of having these 
tools, like maybe you use the 

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user interface of Gemini or 
Copilot, those two could talk to

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one another. 
And it's not just you using 

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text. 
It means that images could fly 

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from that to say, some other 
tool that's enabled for MCP. 

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So if it was, for example, your 
smart home, the Gemini would be 

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able to talk to your smart home,
OK? 

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What that enables? 
The reason we have this common 

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way of communicating, then that 
enables #3 which it means that 

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we can support modular system 
design. 

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So it's not just one monolithic,
right? 

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It's modular winds. 
And that means that at the 

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moment, you've just got, if you 
use Claude, you're just using 

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Claude, OK? 
And if you're just using chat 

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TBT, you're just using chat TBT.
But these are the also the 

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responsive agents that do more 
than just take in text. 

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A logistics firm can add a new 
AI driven routine in plug and 

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play different outcomes. 
It can plug in different 

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outcomes and say and, and use 
all that expanded ecosystem 

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regardless of which company has 
made it. 

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So #4 that means that MCP as the
bridge between the legacy and 

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modern systems. 
So this is really important. 

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You don't just use the MCP to 
communicate with, for example, 

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between AI systems. 
A utility company could use it's

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legacy, they're called SCADA. 
It's kind of a way of 

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communicating. 
So very hardware related to 

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communication and connect it to 
modern analytics. 

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So they can connect all these 
older systems and not throwing 

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them out because they won't be 
able to replace all hardware. 

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And it can now talk via MCP. 
And that is pretty damn 

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important terms about transition
#5 it really enables real time 

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control and automation. 
So it will now allow AI to 

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communicate and actually take 
actions in real time. 

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So it can seems, for example, 
through MCP and AI could detect 

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something and it can send a 
command straight away to stop 

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something happening. 
Maybe changing a red light could

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change the there was a car crash
could automatically activate a 

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sign that said there's a crash 
ahead, for example. 

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And it does that in such a way 
that it's all built in one 

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system. 
So it's all autonomous and it's 

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safety is built in. 
So that's really, really 

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important for modern workflows 
and it makes AI more tangible #6

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is that NCP enables what's 
called Event driven 

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architecture. 
So that means if a business 

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event takes place, then the all 
the AI ecosystem can react 

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straight away based on that 
event using a common language, 

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using MCP, I'll give you an 
example here. 

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A sensor might detect 
temperature spike, right? 

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And let's just say it's cold 
storage, could be a nuclear 

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power plant. 
But in this case it's just 

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simply where cold goods are 
stored. 

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And MCP would send an alert to 
AI which triggers backup calling

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and notifies the supervisor 
using different systems 

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regardless. 
So you're already using your 

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notification system, Slack maybe
or whatever it is, SMS and 

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you're connecting this all 
through one platform. 

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Just drag and drive and, and you
could just do a trigger and say 

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when the temperature hits here, 
call this AI agent. 

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So it's, it's a kind of, I 
imagine if you thought of AUI 

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and there are some good tools 
out there that that allow you to

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do this. 
You're literally dragging and 

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dropping these various agents 
and not just the agents you're 

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using NCP to now talk to them. 
You don't need to write any 

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complicated integration scripts 
#7 is it mates these multi 

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vendor systems work together. 
So one of the frustrations I was

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talking to someone the other day
was that like, if you want to 

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watch TV show, you have to buy 
all the streaming products, 

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right? 
It sucks. 

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OK, So in the AI world, if you 
want to use all the best bits of

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all the different AI agents, you
kind of have to buy all of them,

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right? 
Especially if you're like me and

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you like to try what's what's 
new and what's evolving and they

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will have their strengths and 
weaknesses. 

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But now there's no more vendor 
lock and drama. 

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So you could use devices, AI 
agents, but even in user devices

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from 5 different vendors, a 
hospital could do that. 

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And because I'd be certified to 
do different things, right, not 

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every single one vendor will be 
graded everything. 

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And so NCP will allow painted 
devices, right, to work more 

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smoothly and share information 
with other lockdown systems #8 

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is it provides a structure for 
autonomous agents. 

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So an AI agent needs rules of 
engagement and MCP provides 

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them. 
If you had a fleet of delivery 

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Jones and they were dropping off
points like they were drop off 

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points and it was going into 
kind of aerospace routes, then 

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it could share that across 
companies using MCP. 

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So I've sent an alert over so 
there weren't any crashes or 

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deliveries in the wrong place. 
And there's multi vendors. 

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That's really important. 
It's a language of AI, if you 

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like #9 is that it improves 
security and governance and the 

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communication. 
This is a standard structure. 

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It means better control, better 
logging. 

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And it means that things like 
bots could be used within 

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finance, for example, but it 
would track and audit and 

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validate what it's doing, which 
would remove the risk of kind of

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a rogue automation. 
And #10 is it lays the 

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groundwork for autonomous 
business networks. 

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And this is where we're getting 
to with AI. 

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Think beyond organizations, 
think ecosystem automation. 

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So if one education provider 
could share it's information, 

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it's AI, it's insights across 
other education providers in a 

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Safeway, I'll give you an 
example of a manufacturer. 

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You might have a manufacturer, 
you might have a shipping 

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partner, and you might have a 
customs agent, right? 

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All in this ecosystem of 
delivering goods. 

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And if they all use MCP, they 
can automatically trigger 

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approvals and hand offs across 
the ecosystem. 

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Not just that within one 
organization, but literally 

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across the organization. 
In a Safeway, you start to get 

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the gains of the jobs to be 
done. 

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So MCP might be behind the 
scenes, but it's a game changer 

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and you need to know about it. 
So if you are hearing about MCP 

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at the moment or you, it's a 
notification that you're getting

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on an AI agent, I've given you a
bit of an insight and read a bit

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more about how that tool is 
enabling it. 

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There are actually some websites
now we they will list all the 

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MCP enabled agents and you'll 
see lots of them. 

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And what that really means is 
they're all plug and play. 

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You can all connect them via via
a platform, yes. 

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And you might have to pay for 
some of them. 

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And it may even change the way 
we pay for AI because you might 

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pay the AI platform, which then 
is just paying for the use of 

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say, for example, Claude when it
needs to. 

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So it might change some of the 
payment modules we see too. 

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So I hope you've learnt 
something about NCP and that 

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again stands for modular 
communication Protocol. 

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And that's going to change AI 
and I'll see you next week.

