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​ In this episode, we continue our journey into the Semantic Kernel AI Agents Toolbox, focusing on how to build intelligent agents using MCP Servers and Python. Join us as Evan Mattson walks through three hands-on demos that showcase:
How MCP tools are invoked when constructing AI agents with Semantic Kernel.
Using the GitHub MCP Server
Using the Microsoft Learn MCP Server.
A practical look at how Azure AI Foundry fits into the picture.
Whether you’re just getting started or looking to deepen your understanding of Semantic Kernel and MCP, this episode offers practical insights and real-world examples to help you build more capable AI agents.
Please watch the part 1 “Building AI Agent Workflows with Semantic Kernel” here https://youtu.be/3JFKwerYj04
Resources:
Find the latest info about the open-source Semantic Kernel project at: https://github.com/microsoft/semantic-kernel and https://aka.ms/semantic-kernel
Addding MCP Plugins: Give agents access to MCP Servers | Microsoft Learn
MCP Samples: semantic-kernel/python/samples/concepts/mcp at main · microsoft/semantic-kernel
Getting Started with Agents: semantic-kernel/python/samples/getting_started_with_agents/azure_ai_agent/step09_azure_ai_agent_mcp.py at main · microsoft/semantic-kernel
SemanticClip repo: https://github.com/vicperdana/SemantiClip
đź“Ś Let’s connect:
Jorge Arteiro | https://www.linkedin.com/in/jorgearteiro
Evan Mattson | https://www.linkedin.com/in/evanrmattson
Subscribe to the Open at Microsoft: https://aka.ms/OpenAtMicrosoft
Open at Microsoft Playlist: https://aka.ms/OpenAtMicrosoftPlaylist
đź“ťSubmit Your OSS Project for Open at Microsoft https://aka.ms/OpenAtMsCFP
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