Low Risk

system_info

Returns the information on the system running MultiViewer.

How to control system_info ↓

What system_info does on MultiViewer

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

Low Risk

Why system_info needs a policy

This tool only reads and returns system information about the host running MultiViewer. It performs no writes, executions, or destructive actions. Severity is low as it could expose system details but poses minimal direct risk.

From the tool's definition 'Returns the information on the system running MultiViewer' — purely retrieves/queries system information with no side effects

Risk signalsAdmin/system-level operation

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

How to control system_info

PolicyLayer is an MCP gateway — it sits between your AI agents and MultiViewer, and nothing reaches the server without passing your rules. This is the rule we recommend for system_info:

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

system_info 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 MultiViewer — 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 system_info

What does the system_info tool do? +

Returns the information on the system running MultiViewer. It is categorised as a Read tool in the MultiViewer MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on system_info? +

Register the MultiViewer MCP server in PolicyLayer and add a rule for system_info: 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 MultiViewer. Nothing to install.

What risk level is system_info? +

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

Can I rate-limit system_info? +

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

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

system_info is provided by the MultiViewer MCP server (robspectre/mvf1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MultiViewer tool call.

Start from MultiViewer, 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.

21 MultiViewer tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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