Every engineering organisation has internal systems, APIs, environments, and workflows that generic AI tools simply cannot see. Model Context Protocol (MCP) changes that by allowing GitHub Copilot and other AI agents to securely connect to real enterprise systems - from GitHub and Azure to testing frameworks, CI/CD pipelines, and operational tooling.

In this 30-minute session, we’ll explore how MCP servers turn GitHub Copilot from a code assistant into a platform-connected engineering agent. You’ll see how MCP provides a standardised, secure way for GitHub Copilot to access tools and data across your delivery pipeline, without exposing credentials, over-granting access, or creating shadow IT risks.

We’ll walk through how MCP is used in practice, including:

• GitHub MCP Server: letting GitHub Copilot read repositories, manage pull requests and issues, analyse commits, and reason about CI/CD pipelines through natural language.
• Azure MCP Server: enabling GitHub Copilot to query and operate on Azure services like AKS, App Services, Key Vault, Cosmos DB, and more using secure, identity-based access.
• Playwright and DevOps MCP servers: allowing GitHub Copilot to run tests, interact with web apps, and manage work items and build pipelines directly from chat.

By the end of the session, you’ll understand how to use MCP to safely connect GitHub Copilot to your real engineering estate enabling AI-driven automation, testing, DevOps, and cloud operations without losing control of security, compliance, or governance.

This session is ideal for platform teams, DevOps engineers, architects, and security leaders who want to unlock agentic AI with GitHub Copilot while keeping enterprise-grade control and trust.