What is Model Context Protocol (MCP)?

An open standard for connecting AI applications to tools and data sources.

In plain English

Instead of building a custom connection for every pairing of AI app and tool, MCP defines one common way for an AI application to discover what a tool or data source offers and to use it. A tool or data source exposes an MCP server, and an AI application connects as a client.

Example

An AI assistant connects to a company’s document store through an MCP server so it can look things up when you ask.

Easy to confuse with

• API: An API is a general way for programs to talk. MCP is a standard built for AI applications to find and use tools.

Where you will meet it

This idea belongs to the subject area of these practice tests. We do not publish or predict real exam questions.

• AWS AIF-C01 practice tests
• Microsoft PL-900 practice tests
• Microsoft AI-103 practice tests

Related terms

• AI agent: An AI system that pursues a goal by deciding on steps and using tools, not only by answering one question.
• API: A defined way for one piece of software to ask another for data or to do something.
• Agentic AI: AI systems that pursue a goal by planning steps, using tools and acting, not just answering one prompt.

Written and checked by the Be Ready Education team, last reviewed 2 November 2026. General study information, not professional advice. Providers change names and rules, so confirm details on the official documentation. Not affiliated with, endorsed by or sponsored by any certification vendor or exam body. Certification names, exam codes and product names are trademarks of their respective owners and are used only to identify the exam a practice product prepares for. Our questions are original and are not actual exam questions.