Engineering Intelligence: MCP and Azure in Action

As organizations adopt AI across engineering and operations, platform teams face increasing complexity across tools, data, and workflows.

In this on-demand webinar, TeraSky and Microsoft explore how the Model Context Protocol (MCP) enables a more intelligent approach to platform engineering. The session demonstrates how MCP connects automation, tooling, and context to simplify DevOps workflows and support AI-ready platforms on Microsoft Azure.

In this session, you’ll learn:

• How MCP unifies fragmented DevOps tools into a single, context-aware platform layer
• How to integrate automation and AI into existing engineering workflows
• How to prepare your platform architecture for enterprise-grade AI adoption on Azure

What you’ll see:

• Practical examples of MCP simplifying integration across DevOps toolchains
• Architectural insights into how MCP enables intelligent automation
• Demonstrations of context-driven decision-making on Microsoft Azure

By the end of the session, you’ll be able to:

• Design more connected and intelligent engineering environments using MCP
• Increase productivity by automating repetitive DevOps tasks
• Build scalable, AI-ready platforms aligned with Microsoft best practices

Looking to modernize your platform for the AI era?
Connect with TeraSky to explore how MCP and Azure can help you design intelligent, scalable, and secure engineering platforms.