run_spiderfoot

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-spiderfoot.md

WHAT IT DOES

What run_spiderfoot does on Pentester-MCP

AI agents invoke run_spiderfoot 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_spiderfoot is rated High

This tool executes SpiderFoot, an active reconnaissance framework that performs automated queries against multiple external services and data sources. While primarily for information gathering (Read-like), SpiderFoot actively triggers external operations and network requests whose effects and scope depend on configuration arguments, placing it in the Execute category.

From the tool's definition Tool name 'run_spiderfoot' combined with server description stating it 'Enables AI assistants to autonomously execute over 200 open-source penetration testing tools' including 'reconnaissance' capabilities.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

run_spiderfoot Rate-limited

run_spiderfoot 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_spiderfoot": {
      "limits": [
        {
          "counter": "run_spiderfoot_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_spiderfoot call is checked against it from then on.

FAQ

Questions about run_spiderfoot

What does the run_spiderfoot tool do? +

run_spiderfoot 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_spiderfoot? +

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

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

Can I rate-limit run_spiderfoot? +

Yes. Add a rate_limit block to the run_spiderfoot 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_spiderfoot completely? +

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

run_spiderfoot 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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