MCP Tool Reference High Risk

kubectl_generic

Execute any kubectl command with the provided arguments and flags

Part of the Kubernetes MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

Execute

WHEN AI AGENTS USE THIS TOOL

AI agents invoke kubectl_generic to trigger processes or run actions in Kubernetes. Execute operations can have side effects beyond the immediate call — triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

WHY ENFORCE A POLICY ON KUBECTL_GENERIC

kubectl_generic can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

RECOMMENDED POLICY

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

kubernetes.yaml 
tools:
  kubectl_generic:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Kubernetes policy for all 22 tools.

DETAILS

Tool Name

kubectl_generic

Category

Execute

MCP Server

Kubernetes MCP Server

Risk Level

High

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RELATED READING

FREQUENTLY ASKED QUESTIONS

What does the kubectl_generic tool do?

Execute any kubectl command with the provided arguments and flags. It is categorised as a Execute tool in the Kubernetes MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on kubectl_generic?

Add a rule in your Intercept YAML policy under the tools section for kubectl_generic. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Kubernetes MCP server.

What risk level is kubectl_generic?

kubectl_generic is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit kubectl_generic?

Yes. Add a rate_limit block to the kubectl_generic rule in your Intercept 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_generic completely?

Set action: deny in the Intercept policy for kubectl_generic. 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_generic?

kubectl_generic is provided by the Kubernetes MCP server (). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

ENFORCE POLICIES ON KUBERNETES

Open source. One binary. Zero dependencies.

VIEW ON GITHUB Full Kubernetes policy →