What kinds of Kubernetes resources does KubeView MCP support?
It provides read-only access to Pods, Services, Deployments, Namespaces, ConfigMaps, Secrets, PVCs, and more.
@mikhae1
基本信息
KubeView MCP is a read-only Model Context Protocol (MCP) server that exposes rich, AI-ready operations for Kubernetes clusters.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"kubeview-mcp": {
"command": "npx",
"args": [
"https://github.com/mikhae1/kubeview-mcp"
],
"env": {
"KUBECONFIG": "$HOME/.kube/config"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
KubeView MCP is a read-only Model Context Protocol server that gives AI assistants rich, AI-ready operations for Kubernetes clusters. It is aimed at developers and platform engineers who want AI-driven inspection of cluster resources, Helm releases, Argo workflows, and monitoring data.
— (No installation or configuration instructions are present in the provided README.)
kubectl access.It provides read-only access to Pods, Services, Deployments, Namespaces, ConfigMaps, Secrets, PVCs, and more.
Yes, it supports deep inspection of Helm releases including their manifests, values, hooks, and history.
Yes, it seamlessly integrates with both Argo Workflows and ArgoCD applications.
Yes, it is explicitly described as a read-only MCP server, meaning it will not modify any cluster state.
Yes, it provides CPU and memory metrics out-of-the-box and can be optionally enriched with Prometheus data.
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