What Is MCP?
MCP (Model Context Protocol) is an open standard that lets AI models and assistants connect securely to external tools, data sources and services through a common interface. Instead of building a separate, custom integration for every system an AI needs to reach, MCP gives both sides a shared language to talk to each other.
It was introduced by Anthropic and released as an open specification, so any vendor or developer can adopt it. The goal is simple: make it easier and safer for AI systems to read information and take actions in the real software people already use, from databases and file stores to calendars, search tools and internal business systems.
In plain terms, MCP is the standard plumbing that connects an AI assistant to everything around it. The model still decides what to do, but MCP defines how it asks for data and how it triggers an action in another system.
How MCP Works
MCP follows a client and server pattern. An MCP server is a small program that wraps a tool, a data source or a service and exposes it in a standard way. The server publishes what it offers, usually described as tools (actions the AI can call) and resources (information the AI can read).
An MCP client lives inside the AI application or agent. When the model needs something, the client connects to one or more servers, discovers what each one can do, and then calls the relevant tool or requests a resource. The server runs the request against the underlying system and returns the result to the model in a predictable format.
Because the protocol is standardised, the same AI client can talk to many different servers without bespoke code for each one. A business could run separate MCP servers for its booking system, its product database and its support inbox, and a single assistant could use all three through the same interface.
Why MCP Matters
MCP matters because it removes much of the custom integration work that has slowed down agentic AI. Before a shared standard, every connection between a model and a tool was a one-off build that had to be maintained as both sides changed. MCP turns that into reusable, swappable components.
For agents that need to complete real tasks rather than just answer questions, this is significant. With consistent plumbing, an agent can combine several tools, hand off between systems and act on live data with fewer brittle, hand-coded links. That makes agentic workflows cheaper to build and easier to extend over time.
For most South African businesses, MCP is mainly relevant once you want AI assistants or internal agents to act on your own systems. For now, the practical priority is making your website and content clear and well structured so AI search tools can read and cite you accurately.
FAQ
Who created MCP?
MCP (Model Context Protocol) was introduced by Anthropic as an open standard and released for anyone to use. It is open source, so any AI vendor, tool maker or developer can build clients and servers that follow the specification.
Is MCP the same as an API?
No. An API is a single interface to one service. MCP is a shared standard that sits above many services, so an AI model can discover and use lots of different tools and data sources through one consistent protocol instead of a custom integration for each one.
Do I need MCP for my business website?
Most small businesses do not need to build their own MCP server. It matters most when you want AI assistants or internal agents to act on your own systems, such as a booking tool or database. For now, the bigger priority is making your site clear and well structured so AI search can read it.