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Using Logic Apps as MCP Servers for Your AI Application

John Savill's Technical Training via YouTube

Overview

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Learn to leverage Azure Logic Apps as Model Context Protocol (MCP) servers to enhance your AI applications and agents through this comprehensive technical walkthrough. Discover how to transform Logic App connectors and custom workflows into powerful tools that your AI systems can utilize, starting with a foundational overview of Logic Apps and their role in AI application architecture. Explore the integration process between AI applications and Logic App-based tools, including practical demonstrations of setting up MCP servers within Logic App instances. Master the configuration requirements for different types of Logic Apps, understand how to implement multiple MCP servers within a single Logic App, and navigate authentication considerations for secure AI-tool interactions. Examine real-world examples of MCP server functionality and witness live demonstrations of AI agents utilizing custom Logic App workflows. Gain insights into best practices for creating and deploying your own workflows as MCP tools, complete with practical implementation guidance and troubleshooting approaches for seamless AI-Logic App integration.

Syllabus

00:00 - Introduction
00:13 - Logic App overview
03:33 - AI apps and tools
05:53 - Logic Apps as tools for AI
09:23 - Bookmark
16:18 - Foundry Logic App instance
17:14 - Workflows created
17:58 - Type of Logic App needed
20:34 - Multiple MCP servers per Logic App
21:29 - Authentication
22:32 - How the MCP is working
23:57 - Using my MCP server from an agent
27:02 - Using your workflows
29:43 - Summary
30:19 - Close

Taught by

John Savill's Technical Training

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