mcp-k8s and kubeview-mcp

`silenceper/mcp-k8s` is a foundational Kubernetes MCP server that `mikhae1/kubeview-mcp` extends as an ecosystem sibling, providing a specialized, read-only MCP server specifically for AI analysis.

mcp-k8s
55
Established
kubeview-mcp
40
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 10/25
Adoption 3/25
Maturity 15/25
Community 12/25
Stars: 143
Forks: 27
Downloads: —
Commits (30d): 0
Language: Go
License: Apache-2.0
Stars: 4
Forks: 1
Downloads: —
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No Package No Dependents

About mcp-k8s

silenceper/mcp-k8s

A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.

This project helps operations engineers, developers, and educators manage Kubernetes clusters and Helm deployments using natural language or automated tools instead of complex command-line interfaces. It takes natural language commands or automated scripts as input and allows you to query, create, update, and delete Kubernetes resources and Helm releases, providing detailed status and operational feedback. The target users are DevOps engineers, site reliability engineers, and developers who frequently interact with Kubernetes.

Kubernetes-management DevOps-automation cloud-infrastructure operations-engineering Helm-chart-management

About kubeview-mcp

mikhae1/kubeview-mcp

A fast, read-only MCP server enabling code-driven AI analysis of Kubernetes clusters

Related comparisons

mcp-k8s and kubectl-mcp-server mcp-k8s and k8s-mcp-server mcp-k8s and aks-mcp mcp-k8s and k8s-mcp-server mcp-k8s and mcp-for-argocd mcp-k8s and mcp-kubernetes

Scores updated daily from GitHub, PyPI, and npm data. How scores work