mcp-kubernetes and k8s-mcp
About mcp-kubernetes
Azure/mcp-kubernetes
A Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes
Implements a unified `call_kubectl` tool that consolidates operations into a single interface (reducing context overhead compared to legacy multi-tool approaches), while supporting role-based access control through `readonly`, `readwrite`, and `admin` modes that filter operations at registration time. Integrates with kubectl and optional ecosystem tools (Helm, Cilium, Hubble), communicating via stdio transport by default and supporting OpenTelemetry tracing for observability.
About k8s-mcp
jingyanjiang/k8s-mcp
Workflow-oriented Kubernetes MCP for AI agents. Deploy, diagnose, and operate clusters with less manual kubectl.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work