Learn Microsoft AI’s video guides you through deploying an MCP Server to Microsoft Azure and integrating it with Semantic Kernel, with actionable steps tailored for developers and AI enthusiasts.

Step-by-Step: Deploy MCP Server to Azure & Connect with Semantic Kernel

Learn Microsoft AI presents a hands-on tutorial designed to help you:

Deploy a Model Context Protocol (MCP) server to Microsoft Azure
Connect to the MCP server using a Semantic Kernel client
Leverage modern AI orchestration tools for scalable, intelligent app development

What You’ll Learn

Azure MCP Deployment:
- Setting up cloud resources on Microsoft Azure for MCP server
- Configuration best practices to ensure scalability and reliability
Semantic Kernel Integration:
- Using Semantic Kernel to connect clients to the MCP server
- Step-by-step code and setup demonstrations
AI Application Building:
- Practical workflow for orchestrating AI tasks
- Combining Azure services and Semantic Kernel for intelligent, modern apps

Who Should Watch

Developers working with Microsoft AI technologies
AI enthusiasts interested in MCP and Semantic Kernel
Engineers seeking scalable cloud-based AI solutions

Resources

GitHub: rvinothrajendran
LinkedIn: Vinoth Rajendran
Community Perks: YouTube Channel Membership

Conclusion

This guide ensures you have the practical knowledge to deploy, configure, and utilize key Microsoft AI and orchestration tools for next-generation applications.

Author: Learn Microsoft AI