Glossary AI technique

MCP (Model Context Protocol)

What is MCP (Model Context Protocol)?

MCP is an open standard that lets AI models connect to external tools, data and systems in a uniform way, like a USB port for AI.

Also known as model context protocolMCP

A model only becomes useful once it can reach your systems: your CRM, your calendar, your documents, your database. In the past every connection was bespoke. MCP standardizes that: it is an agreement on how an AI model and an external system talk to each other, so you connect tools once and any model can use them.

The comparison with a USB port is useful. Before USB, every device had its own plug, after it everything fit the same port. MCP aims to be that for the connection between AI and the outside world, which makes integrations faster, reusable and less fragile.

For you as a business owner, MCP is not something you need to know yourself, but it is a reason why AI integrations in 2026 are faster and cheaper to build than a year ago. It makes an AIOS layer over your systems more realistic.

Last updated: 18 June 2026

Relatedterms

Read on in the glossary

All terms

AI techniqueAI agentAn AI agent is software that pursues a goal on its own: it plans the steps, uses tools or systems, checks the result and adjusts course, without a human directing every step.Strategy & implementationAIOS (AI Operating System)An AIOS is an AI layer that sits on top of your existing systems, reads data from all of them at once, and runs processes that affect the whole organisation, not just the individual employee.AI techniqueLLM (Large Language Model)An LLM is a large language model trained on enormous amounts of text, which lets it understand and generate language; it is the engine under tools like ChatGPT, Claude and Gemini.AI techniqueAgentic workflowAn agentic workflow is a process in which an AI agent, not a human, plans the steps, calls tools, checks intermediate results and continues until the goal is reached.

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