start_kubectl_port_forward

A execute tool on the Pentester- MCP server.

SERVERPentester-MCP SOURCEhalilkirazkaya/pentester-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/halilkirazkaya-pentester-mcp/start-kubectl-port-forward.md

WHAT IT DOES

What start_kubectl_port_forward does on Pentester-MCP

AI agents invoke start_kubectl_port_forward to trigger actions in Pentester-MCP. 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 start_kubectl_port_forward is rated High

Port-forwarding is an Execute action: it triggers external operations (kubectl commands) whose effects depend on runtime arguments. While not immediately destructive or financial, misuse could enable unauthorized access to Kubernetes services, lateral movement in cluster infrastructure, or exposure of internal services.

From the tool's definition Tool name 'start_kubectl_port_forward' indicates execution of kubectl port-forward commands, which initiate network forwarding operations with side effects depending on arguments (target pod, local port, remote port).

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs start_kubectl_port_forward safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Pentester-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For start_kubectl_port_forward, this is the rule to start with:

start_kubectl_port_forward Rate-limited

start_kubectl_port_forward 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": {
    "start_kubectl_port_forward": {
      "limits": [
        {
          "counter": "start_kubectl_port_forward_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 Pentester-MCP, apply this rule, and every start_kubectl_port_forward call is checked against it from then on.

FAQ

Questions about start_kubectl_port_forward

What does the start_kubectl_port_forward tool do? +

start_kubectl_port_forward is a execute tool on the Pentester MCP server. It is categorised as a Execute tool in the Pentester-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_kubectl_port_forward? +

Register the Pentester MCP server in PolicyLayer and add a rule for start_kubectl_port_forward: 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 Pentester-MCP. Nothing to install.

What risk level is start_kubectl_port_forward? +

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

Can I rate-limit start_kubectl_port_forward? +

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

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

start_kubectl_port_forward is provided by the Pentester MCP server (halilkirazkaya/pentester-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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