get_gpu_status

THE RISK

Low Risk

Why get_gpu_status needs a policy

This tool retrieves and reports current GPU performance metrics without modifying system state or triggering side effects. It is purely informational, making it a Read operation. While running on a hashcat server used for password cracking, this specific tool does not perform cracking itself—it only monitors GPU performance.

From the tool's definition Tool name 'get_gpu_status' and description 'Get real-time GPU status and performance metrics' indicate query/retrieval of system information only. No modifications, code execution, or destructive operations are performed.

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

POLICY

How to control get_gpu_status

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_gpu_status": {}
  }
}

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

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

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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All 23 Hashcat MCP Server tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_gpu_status

What does the get_gpu_status tool do? +

Get real-time GPU status and performance metrics. It is categorised as a Read tool in the Hashcat MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_gpu_status? +

Register the Hashcat MCP Server MCP server in PolicyLayer and add a rule for get_gpu_status: 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 Hashcat MCP Server. Nothing to install.

What risk level is get_gpu_status? +

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

Can I rate-limit get_gpu_status? +

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

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

get_gpu_status is provided by the Hashcat MCP Server MCP server (mordavid/hashcat-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Hashcat MCP Server tool call.

Start from Hashcat MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →