Interest in Anthropic’s Model Context Protocol (MCP) is as high as confusion about what it is and why you should use it. In part 1 of this series, I dove deep into MCP — what it is, and what it isn’t. In this article, I’ll take a look at the main reason there’s so much buzz around it: enabling agentic AI workflows.
MCP for Agentic Workflows
A raw large language model (LLM) simply maps inputs to outputs. An agentic LLM system gives the LLM:
- Tools to act
- A memory of past steps
- A way to loop and reason iteratively
- Optional goals or…
