arvan_kubectl
Run an arbitrary kubectl command (e.g. ["get","pods","-o","wide"]).
This record as markdown: /tools/dwin-gharibi-arvancloud-mcp/arvan-kubectl.md
What arvan_kubectl does on ArvanCloud MCP Server
AI agents invoke arvan_kubectl to trigger actions in ArvanCloud MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why arvan_kubectl is rated High
kubectl commands can execute arbitrary operations against Kubernetes clusters, including reading secrets, deploying malicious workloads, modifying cluster configuration, accessing sensitive data, and triggering cascading infrastructure changes. An AI agent with access to arbitrary kubectl execution could compromise the entire cluster and hosted applications.
From the tool's definition Tool description explicitly states 'Run an arbitrary kubectl command' with example passing arguments to kubectl. The word 'arbitrary' and the ability to pass command arguments indicates unrestricted execution capability.
Attacks that exploit this kind of access
The rule that runs arvan_kubectl safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ArvanCloud MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For arvan_kubectl, this is the rule to start with:
arvan_kubectl stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ArvanCloud MCP Server, apply this rule, and every arvan_kubectl call is checked against it from then on.
Questions about arvan_kubectl
Run an arbitrary kubectl command (e.g. ["get","pods","-o","wide"]). It is categorised as a Execute tool in the ArvanCloud MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ArvanCloud MCP Server MCP server in PolicyLayer and add a rule for arvan_kubectl: 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 ArvanCloud MCP Server. Nothing to install.
arvan_kubectl is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the arvan_kubectl 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.
Set action: deny in the PolicyLayer policy for arvan_kubectl. 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.
arvan_kubectl is provided by the ArvanCloud MCP Server MCP server (dwin-gharibi/arvancloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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