How to Build an MCP Tool Layer in Go to Connect AI Agents to Kubernetes

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A developer tutorial published on DEV Community details how to build a Model Context Protocol (MCP) server in Go that wraps a read-only Kubernetes client as callable tools for AI agents. MCP is a lightweight protocol where a server exposes named tools with JSON Schema inputs, allowing an LLM-powered agent like Claude to query and call them iteratively to answer user questions. The post focuses on stdio transport, where a client application spawns the Go binary as a local child process and communicates via stdin and stdout, requiring no network setup or authentication beyond kubeconfig access. It also contrasts stdio with streamable HTTP transport, which suits shared, long-lived server deployments but introduces added complexity around authentication and session state management. The guide positions stdio as the practical choice for individual engineers running the tool locally against their own Kubernetes cluster.

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