Integrating MCP Tools with Azure AI Agents
The lesson introduces the Model Context Protocol (MCP) for AI agents. Compares manual per-tool integration versus MCP server auto-discovery, discusses trade-offs in flexibility, efficiency, and security between MCP servers and Linux command-line environments, and explains the MCP client/server flow built into Azure AI Foundry.
Previous Module
Optimizing Generative AI Chat Apps
This Module
Develop AI Agents on Azure
Developing AI Agents on Azure
Why Use Custom Tools
Custom Functions and Azure Functions
Logic Apps and OpenAPI Specifications
MCP vs OpenAPI
Integrating MCP Tools with Azure AI Agents
Retrieval Augmented Generation for Agents
Exploring Foundry IQ
Configuring Data Sources and Retrieval in Foundry IQ