AI agents invoke macro_play 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.
Playing a macro executes a pre-recorded sequence of actions on a firewall/network device. On an OPNSense firewall, this could trigger arbitrary configuration changes, rule modifications, or network operations depending on the macro's contents. The 'play' action implies execution of stored commands, making this an Execute-category tool.
From the tool's definition Play a saved macro
Documented attack patterns abuse exactly the kind of access macro_play 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 macro_play:
{
"version": "1",
"default": "deny",
"tools": {
"macro_play": {
"limits": [
{
"counter": "macro_play_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}macro_play 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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Play a saved macro. 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 macro_play: 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.
macro_play 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 macro_play 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 macro_play. 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.
macro_play 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.