run_arjun

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/run-arjun.md

WHAT IT DOES

What run_arjun does on Pentester-MCP

AI agents invoke run_arjun 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 run_arjun is rated High

This tool executes an external penetration testing utility (Arjun parameter discovery) whose effects depend on target arguments provided by the AI agent. It triggers HTTP requests and automated reconnaissance against specified targets, fitting the Execute category (runs external operations with argument-dependent effects).

From the tool's definition Tool named 'run_arjun' belongs to Pentester-MCP server which 'enables AI assistants to autonomously execute over 200 open-source penetration testing tools' including 'web exploitation' capabilities.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

run_arjun Rate-limited

run_arjun 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": {
    "run_arjun": {
      "limits": [
        {
          "counter": "run_arjun_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 run_arjun call is checked against it from then on.

FAQ

Questions about run_arjun

What does the run_arjun tool do? +

run_arjun 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 run_arjun? +

Register the Pentester MCP server in PolicyLayer and add a rule for run_arjun: 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 run_arjun? +

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

Can I rate-limit run_arjun? +

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

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

run_arjun 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.

KEEP EXPLORING

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