run_medusa

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-medusa.md

WHAT IT DOES

What run_medusa does on Pentester-MCP

AI agents invoke run_medusa 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_medusa is rated High

Medusa is a well-known parallel network login brute-force tool used in penetration testing to guess credentials against target systems. Running it constitutes executing an external tool whose effects (account compromise, denial of service, system access) depend entirely on how an AI agent configures the target host, port, username, and password wordlist.

From the tool's definition Tool name 'run_medusa' with context of a pentester MCP server designed to 'autonomously execute over 200 open-source penetration testing tools' including 'brute-forcing'. Medusa is a credential brute-force attack tool.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

run_medusa Rate-limited

run_medusa 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_medusa": {
      "limits": [
        {
          "counter": "run_medusa_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_medusa call is checked against it from then on.

FAQ

Questions about run_medusa

What does the run_medusa tool do? +

run_medusa 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_medusa? +

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

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

Can I rate-limit run_medusa? +

Yes. Add a rate_limit block to the run_medusa 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_medusa completely? +

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

run_medusa 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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