Deploying MCP Server to Azure and Connecting with Semantic Kernel: A Step-by-Step Tutorial
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