AI agents invoke run to trigger actions in Kali 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.
This tool permits execution of any shell command on a live system without apparent constraints or sandboxing limits. Given that the server runs Kali Linux (a penetration testing distribution with powerful offensive tools like metasploit, nmap, sqlmap, etc. already installed), an AI agent misusing this tool could execute arbitrary attacks, reconnaissance, or lateral movement commands.
From the tool's definition Tool name 'run' with description 'Runs a shell command on the Kali Linux system' directly executes arbitrary code with unrestricted scope.
Documented attack patterns abuse exactly the kind of access run gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kali MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for run:
{
"version": "1",
"default": "deny",
"tools": {
"run": {
"limits": [
{
"counter": "run_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}run 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.
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Runs a shell command on the Kali Linux system. It is categorised as a Execute tool in the Kali MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Kali MCP Server MCP server in PolicyLayer and add a rule for run: 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 Kali MCP Server. Nothing to install.
run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run 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.
Set action: deny in the PolicyLayer policy for run. 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.
run is provided by the Kali MCP Server MCP server (k3nn3dy-ai/kali-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kali MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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36 Kali MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.