Tutorials · 2026-08-05 · 6 min read
Using MCP with AI: a practical introduction
Tutorial-style introduction to Model Context Protocol (MCP) for connecting AI assistants and agents to tools safely.
MCP (Model Context Protocol) is a way to expose tools and context to AI clients in a structured, reusable fashion — so agents are not hard-wired to one-off integrations.
In practice: define what a tool can do, authenticate carefully, and keep human approval on write actions. Treat MCP servers like APIs you would audit.
Learners should understand MCP alongside RAG and agents: retrieval supplies knowledge; MCP supplies actions and live context.
Use the glossary for a short definition, then practise agent design on Amro Academy before wiring production tools.