Kubernetes MCP

A Model Context Protocol server that exposes kubectl-style operations to AI assistants — listing pods, reading logs, describing resources, scaling deployments and diagnosing failing workloads through natural language. It reads your existing kubeconfig, so whatever contexts and RBAC rules you already have apply unchanged. Best treated as a read-and-diagnose tool first; write operations should be gated behind a restricted service account.

Kubernetes MCP is a Developer Tools MCP server designed for professional engineers and engineering teams. It enables wiring AI assistants into the inner loop of writing and shipping code by exposing Git, package, build, and CLI operations as MCP tools. Key capabilities include git and github operations (status, blame, prs), package and dependency inspection, build and test runner integration, and structured tool calls that work cleanly inside an LLM context. It integrates with Git, GitHub, GitLab, npm, pnpm, Docker, and common build systems, and is best suited for professional engineers and engineering teams who need reviewing diffs and opening prs from chat.