Azure MCP (Microsoft)

Microsoft's Azure MCP server gives your AI assistant direct access to Azure cloud resources through the Model Context Protocol. Instead of switching between the Azure Portal, CLI, and your editor, your agent can query resource groups, inspect storage accounts, check deployment statuses, and manage services conversationally. It is the official Microsoft-backed entry point for MCP-to-Azure integration. The server ships as both an npm package and a NuGet package, which signals Microsoft's commitment to supporting it across the Node.js and .NET ecosystems. Under the hood it wraps Azure SDK calls behind MCP tool definitions, so your agent gets structured access to Azure Resource Manager, storage, compute, and other services without you having to write boilerplate API calls. What makes this interesting compared to just using the Azure CLI is the contextual awareness. Your AI agent can chain multiple Azure operations together — check which VMs are running, inspect their metrics, and suggest scaling actions — all within a single conversation. The downside is that Azure's permission model is complex, and you need to make sure your service principal or managed identity has the right RBAC roles configured.