Modern teams are experimenting with Model Context Protocol (MCP) servers, but most demos stop at single-server capabilities. This session goes deeper—showing how to orchestrate multiple MCP servers to automate real engineering workflows. You’ll see a practical, end-to-end scenario that connects the Azure DevOps MCP (for work items, pipelines, and repos) with the Power BI Remote MCP/Fabric MCP (for data queries, semantic models, and report refresh) to create a closed loop: code changes trigger DevOps actions, telemetry rolls into Fabric/Power BI, and insights feed back to improve delivery. We’ll cover architecture choices, security boundaries, and governance patterns you can take to production. By the end, you’ll have a blueprint for multi-MCP orchestration that accelerates delivery, improves observability, and keeps compliance front-and-center. The session balances live demos with design guidance so you can adapt the patterns to your stack—whether you’re starting with Power BI models or consolidating analytics under Fabric. Attendees leave with artifacts and checklists to replicate the scenario and extend it to Terraform, Git, and other MCP servers.