MCP

MCP stands for Model Context Protocol: an open standard that lets AI models plug into external tools, databases, and apps — so the model can read live context and take action, instead of waiting for you to paste everything in.

An MCP server is the bridge between a model and a source (Drive, CRM, Shopify, Slack, a database). That is what lets an AI agent work inside your stack. It is related to APIs, but focused on a shared way for AI to discover and use tools. It is not the same as WebMCP (exposing site actions to agents in the browser).

A real-life example of MCP

You ask: “Summarize this week’s support tickets and draft replies for the top three.” Without MCP, you export CSVs and paste them into chat. With MCP connected to your helpdesk, the model pulls the tickets, drafts from real history, and you review before send — ideally with human in the loop.

For Atlanta businesses already using AI day to day, the question is what changes when that AI can see your systems. Full walkthrough: MCP Explained and AI agents: what they are.