Execute a CLI command on OPNsense for advanced configuration
AI agents invoke cli_execute to trigger actions in OPNSense 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 allows running arbitrary CLI commands on an OPNSense firewall with no apparent restrictions or sandboxing. An AI agent could execute destructive commands (system shutdown, rule deletion, certificate revocation), access sensitive data, modify firewall rules, or compromise network security.
From the tool's definition Tool name 'cli_execute' with description 'Execute a CLI command on OPNsense for advanced configuration' explicitly permits arbitrary command execution on a firewall system.
Documented attack patterns abuse exactly the kind of access cli_execute gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OPNSense MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cli_execute:
{
"version": "1",
"default": "deny",
"tools": {
"cli_execute": {
"limits": [
{
"counter": "cli_execute_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}cli_execute 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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Execute a CLI command on OPNsense for advanced configuration. It is categorised as a Execute tool in the OPNSense MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the OPNSense MCP Server MCP server in PolicyLayer and add a rule for cli_execute: 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 OPNSense MCP Server. Nothing to install.
cli_execute 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 cli_execute 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 cli_execute. 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.
cli_execute is provided by the OPNSense MCP Server MCP server (vespo92/opnsensemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 196 OPNSense MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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196 OPNSense MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.