AI agents are most valuable when they can access the right information and support real tasks — not just respond to prompts.
This beginner-friendly session introduces Model Context Protocol (MCP) and explains how it provides a standard way for AI applications to connect with external tools, data sources, APIs, and workflows.
You will learn why MCP matters, how it works at a high level, and how it helps make AI agents more useful in real workplace scenarios.
In this session, we will cover:
- What Model Context Protocol is and why it matters
- Why AI agents need access to tools, data, and workflows
- The basic MCP architecture: Host, Client, and Server
- Examples of what MCP can connect to, such as files, databases, APIs, and business systems
- How MCP helps reduce repeated custom integrations
- How MCP enables more capable AI applications for workplace use
This beginner-friendly session is suitable for:
- Developers who are new to MCP and want to understand the basic concepts before implementation
- IT professionals exploring how AI agents can connect to tools, data, and systems
- Solution architects/cloud architects who want a high-level understanding of where MCP fits in AI solution design
