kubectl_context

管理Kubernetes上下文

Server Kubernetes MCP Server secret-deus/kubernetes-mcp
Category Read
Risk class Low
Parameters 00 required

What kubectl_context does on Kubernetes MCP Server

AI agents call kubectl_context to retrieve information from Kubernetes MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why kubectl_context needs a policy

Kubernetes context operations are informational in nature. They retrieve current context, list available contexts, or switch between existing contexts in kubeconfig. These are read operations that do not create, modify, delete, or execute actions on cluster resources.

From the tool's definition Tool name 'kubectl_context' with description '管理Kubernetes上下文' (manage Kubernetes context). Context management involves querying, switching, and listing Kubernetes cluster contexts—operations that retrieve or query configuration state without modifying…

Questions about kubectl_context

What does the kubectl_context tool do? +

管理Kubernetes上下文. It is categorised as a Read tool in the Kubernetes MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on kubectl_context? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for kubectl_context: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Kubernetes MCP Server. Nothing to install.

What risk level is kubectl_context? +

kubectl_context is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit kubectl_context? +

Yes. Add a rate_limit block to the kubectl_context rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block kubectl_context completely? +

Set action: deny in the PolicyLayer policy for kubectl_context. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides kubectl_context? +

kubectl_context is provided by the Kubernetes MCP Server MCP server (secret-deus/kubernetes-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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