AI agents invoke run_ssh_command 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.
This tool runs commands on remote systems via SSH. Even though the description is empty, the name and server context make clear it executes arbitrary shell commands, which is an Execute-category capability. Severity is high because SSH command execution can compromise remote systems, exfiltrate data, or enable lateral movement—though the blast radius depends on target permissions and network exposure.
From the tool's definition Tool name 'run_ssh_command' indicates execution of arbitrary commands over SSH; server description confirms it enables 'autonomous execution' of penetration testing tools; sibling tools like 'execute_weevely_module' and 'generate_weevely_agent' establish this…
Documented attack patterns abuse exactly the kind of access run_ssh_command gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pentester-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for run_ssh_command:
{
"version": "1",
"default": "deny",
"tools": {
"run_ssh_command": {
"limits": [
{
"counter": "run_ssh_command_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} run_ssh_command 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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run_ssh_command. 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.
Register the Pentester- MCP server in PolicyLayer and add a rule for run_ssh_command: 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.
run_ssh_command 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_ssh_command 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_ssh_command. 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_ssh_command 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.
Start from Pentester-MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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337 Pentester-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.