k8s-mcp-server and mcp-kubernetes-server
About k8s-mcp-server
alexei-led/k8s-mcp-server
K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments
# Technical Summary Implements MCP via stdio, HTTP streamable, and SSE transports—with stdio as the Claude Desktop default—enabling bidirectional command execution without polling. Runs as a non-root containerized process with command validation and Unix tool piping (`jq`, `grep`, `sed`) for output processing, plus native cloud provider authentication for AWS EKS, GKE, and Azure AKS. Integrates directly into Claude Desktop through simple JSON configuration, allowing natural-language Kubernetes operations without leaving the interface.
About mcp-kubernetes-server
feiskyer/mcp-kubernetes-server
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, translating natural language requests into Kubernetes operations and returning the results in a format the AI tools can understand.
Implements fine-grained access control through optional flags (--disable-kubectl, --disable-helm, --disable-write, --disable-delete) and supports multiple transport protocols (stdio, SSE, streamable-http) for flexible deployment across MCP-compatible clients. Provides both high-level tools (kubectl, helm command execution) and lower-level Kubernetes API wrappers (k8s_get, k8s_describe, k8s_logs, k8s_events) that translate natural language into structured API calls against kubeconfig-authenticated clusters.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work