exec_api_call

Execute a custom API call to OPNsense

SERVEROPNsense MCP Server SOURCEfakebizprez/opnsense-mcp-server

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/fakebizprez-opnsense-mcp-server/exec-api-call.md

WHAT IT DOES

What exec_api_call does on OPNsense MCP Server

AI agents invoke exec_api_call 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.

RISK

Why exec_api_call is rated High

This tool allows execution of arbitrary API calls against OPNsense, a security-critical firewall appliance. The blast radius is critical because an AI agent with access to this tool could reconfigure firewall rules, disable security controls, modify network policies, or compromise the entire network infrastructure protected by the firewall.

From the tool's definition Tool name 'exec_api_call' combined with description 'Execute a custom API call to OPNsense' indicates arbitrary code/command execution capability.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs exec_api_call safely

PolicyLayer is an MCP gateway: it sits between your AI agents and OPNsense MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For exec_api_call, this is the rule to start with:

exec_api_call Rate-limited

exec_api_call 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "exec_api_call": {
      "limits": [
        {
          "counter": "exec_api_call_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect OPNsense MCP Server, apply this rule, and every exec_api_call call is checked against it from then on.

FAQ

Questions about exec_api_call

What does the exec_api_call tool do? +

Execute a custom API call to OPNsense. 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.

How do I enforce a policy on exec_api_call? +

Register the OPNsense MCP Server MCP server in PolicyLayer and add a rule for exec_api_call: 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 exec_api_call? +

exec_api_call is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit exec_api_call? +

Yes. Add a rate_limit block to the exec_api_call 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 exec_api_call completely? +

Set action: deny in the PolicyLayer policy for exec_api_call. 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 exec_api_call? +

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

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