Mcp

Modern AI Agents are becoming increasingly powerful, but their true potential is unlocked when they can interact with external systems. In my previous post, I discussed how to create MCP (Model Context Protocol) servers and the advantages of using MCP to connect AI models to external tools and data sources vs. traditional function callings. In this follow-up post, I will dive into using MCP tools with Azure AI Foundry Agents.

While tools extend GenAI application capabilities by allowing models to call external functions they are typically scoped to a specific model or framework. MCP solves this by providing a standard interface that simplifies integration across models and tools. In this post, we will see how easy it is to set up a local MCP server and interact with it directly from GitHub Copilot Chat in VS Code.