AI agents invoke run_onesixtyone 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.
onesixtyone is an active network reconnaissance tool that executes SNMP queries against target hosts to enumerate devices and extract information. This is an Execute category tool because it triggers external network operations whose effects depend on the target arguments (IP addresses, community strings, etc.).
From the tool's definition Tool name 'run_onesixtyone' refers to onesixtyone, a well-known SNMP reconnaissance tool that actively probes network devices. The server description explicitly mentions 'reconnaissance' and 'penetration testing tools' as core capabilities.
Documented attack patterns abuse exactly the kind of access run_onesixtyone 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_onesixtyone:
{
"version": "1",
"default": "deny",
"tools": {
"run_onesixtyone": {
"limits": [
{
"counter": "run_onesixtyone_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} run_onesixtyone 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_onesixtyone. 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_onesixtyone: 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_onesixtyone 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_onesixtyone 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_onesixtyone. 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_onesixtyone 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.
Free to start. No card required.
337 Pentester-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.