Low Risk

opn_pf_states

Query the active PF (packet filter) state table.

How to control opn_pf_states ↓

What opn_pf_states does on OPNsense MCP Server

AI agents call opn_pf_states to retrieve information from OPNsense MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why opn_pf_states needs a policy

This tool queries network state data from the packet filter, which is a passive retrieval operation with no side effects. It does not create, modify, delete, or execute any commands—it simply returns current state information for diagnostic or monitoring purposes. This is a classic Read operation with minimal security risk.

From the tool's definition Tool name 'opn_pf_states' and description 'Query the active PF (packet filter) state table' indicate a read-only operation that retrieves state information without modifying or executing actions.

Documented attack patterns abuse exactly the kind of access opn_pf_states gives an agent:

How to control opn_pf_states

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 opn_pf_states:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "opn_pf_states": {}
  }
}

opn_pf_states is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register OPNsense MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about opn_pf_states

What does the opn_pf_states tool do? +

Query the active PF (packet filter) state table. It is categorised as a Read tool in the OPNsense MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on opn_pf_states? +

Register the OPNsense MCP Server MCP server in PolicyLayer and add a rule for opn_pf_states: 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.

What risk level is opn_pf_states? +

opn_pf_states is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit opn_pf_states? +

Yes. Add a rate_limit block to the opn_pf_states 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.

How do I block opn_pf_states completely? +

Set action: deny in the PolicyLayer policy for opn_pf_states. 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.

What MCP server provides opn_pf_states? +

opn_pf_states is provided by the OPNsense MCP Server MCP server (lucamarien/opnsense-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every OPNsense MCP Server tool call.

Start from OPNsense 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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81 OPNsense MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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