4 posts tagged with "MCP"

Agent skills for Azure Kubernetes Service (AKS) bring production-grade AKS guidance, troubleshooting checklists, and guardrails directly into any compatible AI agent. The first set of skills are now available through the GitHub Copilot for Azure extension, with support for VS Code, Visual Studio, Copilot CLI, and Claude.

While AI agents already carry a good baseline of Kubernetes and AKS knowledge, that knowledge is only as current as their training data and varies across models. Skills enhance agents with prescriptive, up-to-date guidance on the tools and processes our AKS engineers use today to make the right AKS decisions across cluster creation, operations, and issue resolution.

It's been a few months since the AKS-MCP server was announced. Since then, there have been several updates and improvements. The MCP server can be easily installed on a local machine using the AKS Extension for VS Code, or via the GitHub MCP registry, or even using the Docker MCP hub.

In this blog post, I'll show you one approach to running the AKS MCP server: deploying it inside an AKS cluster as a Streamable HTTP service. This pattern demonstrates how MCP servers can be centrally managed and made accessible to multiple clients—including AI assistants, automation tools, and even autonomous agents.

Introduction​

Recently, we released the AKS-MCP server, which enables AKS customers to automate diagnostics, troubleshooting, and cluster management using natural language. One of its key capabilities is real-time observability using inspektor_gadget_observability MCP tool, which leverages a technology called eBPF to help customers quickly inspect and debug applications running in AKS clusters.

We're excited to announce the launch of the AKS-MCP Server. An open source Model Context Protocol (MCP) server designed to make your Azure Kubernetes Service (AKS) clusters AI-native and more accessible for developers, SREs, and platform engineers through Agentic AI workflows.

AKS-MCP isn't just another integration layer. It empowers cutting-edge AI assistants (such as Claude, Cursor, and GitHub Copilot) to interact with AKS through a secure, standards-based protocol—opening new possibilities for automation, observability, and collaborative cloud operations.