Unlocking Your Agents' Potential with Model Context Protocol in Azure AI Foundry

Microsoft Developer walks through the process of creating an Azure AI Foundry Agent using the Model Context Protocol (MCP), highlighting practical integration tips and resources.

Unlocking Your Agents’ Potential with Model Context Protocol in Azure AI Foundry

In this session, Microsoft Developer demonstrates how to build an Azure AI Foundry Agent that leverages the Model Context Protocol (MCP) to unlock advanced capabilities in sales data analytics.

What You’ll Learn

• Overview of Azure AI Foundry and MCP: Understand the purpose and capabilities of the Model Context Protocol within the Azure AI Foundry ecosystem.
• Building a Sales Data Analytics Agent: Step-by-step demonstration of using the Foundry Agents Service to create a custom agent that analyzes sales data.
• Integrating MCP Tools: How to incorporate MCP tools into your agents for contextual model interactions.
• Practical Development Tips: Using Visual Studio Code for development, including MCP server integration and support resources.

Useful Resources

• MCP for Beginners Curriculum
• MCP Servers in VS Code
• Azure AI Foundry Discord Community
• Foundry Agent Service Announcement (Model Context Protocol Preview)
• VS Code Release Parties

Next Steps

• Join the community to stay up-to-date on new MCP tools and features
• Explore the official documentation and sample agents to accelerate your development

By the end of this session, you’ll know how to set up, extend, and integrate advanced MCP features in Azure AI Foundry Agents, especially for sales data analytics scenarios.