k8s_current_context

Get the current kubectl context

Server Kubernetes MCP Server mjrestivo16/mcp-kubernetes
Category Read
Risk class Low
Parameters 00 required

What k8s_current_context does on Kubernetes MCP Server

AI agents call k8s_current_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 k8s_current_context needs a policy

This tool only reads the active kubectl context (cluster/user/namespace combination). It performs no write, execute, destructive, or financial operations. The blast radius is minimal—obtaining this information does not enable unauthorized actions on its own. Low severity because context alone cannot modify cluster state.

From the tool's definition Tool name 'k8s_current_context' and description 'Get the current kubectl context' indicate a simple query operation that retrieves configuration state without modifying resources.

Questions about k8s_current_context

What does the k8s_current_context tool do? +

Get the current kubectl context. 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 k8s_current_context? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for k8s_current_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 k8s_current_context? +

k8s_current_context is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit k8s_current_context? +

Yes. Add a rate_limit block to the k8s_current_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 k8s_current_context completely? +

Set action: deny in the PolicyLayer policy for k8s_current_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 k8s_current_context? +

k8s_current_context is provided by the Kubernetes MCP Server MCP server (mjrestivo16/mcp-kubernetes). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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