arvan_k8s_apply

kubectl apply a manifest (inline YAML) or a directory of manifests.

SERVERArvanCloud MCP Server SOURCEdwin-gharibi/arvancloud-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dwin-gharibi-arvancloud-mcp/arvan-k8s-apply.md

WHAT IT DOES

What arvan_k8s_apply does on ArvanCloud MCP Server

AI agents invoke arvan_k8s_apply 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.

RISK

Why arvan_k8s_apply is rated High

kubectl apply executes Kubernetes manifests which can create, modify, or delete any resource in a cluster including deployments, services, RBAC roles, secrets, and cluster-wide resources. An AI agent misusing this tool could deploy malicious workloads, escalate privileges, expose sensitive data, or destabilize the entire cluster. The blast radius is critical as it affects live infrastructure.

From the tool's definition 'kubectl apply' a manifest (inline YAML) or a directory of manifests

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs arvan_k8s_apply 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_k8s_apply, this is the rule to start with:

arvan_k8s_apply Rate-limited

arvan_k8s_apply 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "arvan_k8s_apply": {
      "limits": [
        {
          "counter": "arvan_k8s_apply_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ArvanCloud MCP Server, apply this rule, and every arvan_k8s_apply call is checked against it from then on.

FAQ

Questions about arvan_k8s_apply

What does the arvan_k8s_apply tool do? +

kubectl apply a manifest (inline YAML) or a directory of manifests. 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.

How do I enforce a policy on arvan_k8s_apply? +

Register the ArvanCloud MCP Server MCP server in PolicyLayer and add a rule for arvan_k8s_apply: 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.

What risk level is arvan_k8s_apply? +

arvan_k8s_apply is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit arvan_k8s_apply? +

Yes. Add a rate_limit block to the arvan_k8s_apply 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 arvan_k8s_apply completely? +

Set action: deny in the PolicyLayer policy for arvan_k8s_apply. 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 arvan_k8s_apply? +

arvan_k8s_apply 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.

KEEP EXPLORING

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