Uploaded August 2026 | Updated September 2026, 2 weeks ago
Learn how to build AI agents with Microsoft Foundry and connect them to real-world business systems using the Model Context Protocol (MCP) and Azure Logic Apps.
In this session, we'll explore how MCP enables agents to discover and use tools, while Azure Logic Apps provides a secure, low-code way to integrate with enterprise applications and APIs. Through a live demo, you'll see how to extend an AI agent beyond chat to retrieve data, automate workflows, and take action across your organization.
00:00 Welcome & Housekeeping
03:13 Session Overview: AI Agents with Microsoft Foundry, MCP & Azure Logic Apps
04:04 Speaker Introduction: Ziggy Zoleta
05:05 What You'll Build Today
05:50 What is Microsoft Foundry?
07:09 What is an AI Agent?
08:37 Understanding Model Context Protocol (MCP)
10:53 Why MCP + Azure Logic Apps Matters
12:18 Demo Architecture Overview
13:51 Creating Azure Resources & Storage
16:04 Creating a Microsoft Foundry Project
17:51 Deploying a GPT Model
19:34 Testing the Model in the Playground
20:30 Creating an Agent in Microsoft Foundry
22:16 Adding the Code Interpreter Tool
23:25 Connecting a Stock Market API
25:25 Testing Stock Price Retrieval
26:24 Creating Charts with Agent Tools
27:27 Building an Azure Logic App
30:20 Creating the Stock Storage Workflow
34:53 Testing the Logic App
36:51 Exposing the Workflow as an MCP Server
38:50 Connecting MCP to the Agent
41:04 Saving Stock Data with MCP
42:28 Multi-Stock MCP Demo
43:32 Combining API, MCP & Code
[eventID:27458]
Learn how to build AI agents with Microsoft Foundry and connect them to real-world business systems using the Model Context Protocol (MCP) and Azure Logic Apps.
In this session, we'll explore how MCP enables agents to discover and use tools, while Azure Logic Apps provides a secure, low-code way to integrate with enterprise applications and APIs. Through a live demo, you'll see how to extend an AI agent beyond chat to retrieve data, automate workflows, and take action across your organization.
00:00 Welcome & Housekeeping
03:13 Session Overview: AI Agents with Microsoft Foundry, MCP & Azure Logic Apps
04:04 Speaker Introduction: Ziggy Zoleta
05:05 What You'll Build Today
05:50 What is Microsoft Foundry?
07:09 What is an AI Agent?
08:37 Understanding Model Context Protocol (MCP)
10:53 Why MCP + Azure Logic Apps Matters
12:18 Demo Architecture Overview
13:51 Creating Azure Resources & Storage
16:04 Creating a Microsoft Foundry Project
17:51 Deploying a GPT Model
19:34 Testing the Model in the Playground
20:30 Creating an Agent in Microsoft Foundry
22:16 Adding the Code Interpreter Tool
23:25 Connecting a Stock Market API
25:25 Testing Stock Price Retrieval
26:24 Creating Charts with Agent Tools
27:27 Building an Azure Logic App
30:20 Creating the Stock Storage Workflow
34:53 Testing the Logic App
36:51 Exposing the Workflow as an MCP Server
38:50 Connecting MCP to the Agent
41:04 Saving Stock Data with MCP
42:28 Multi-Stock MCP Demo
43:32 Combining API, MCP & Code
[eventID:27458]
