trivy · Python MCP: Risk & Policy

WHAT IT DOES

What trivy does on Python

AI agents invoke trivy to trigger actions in Python. 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.

WHY IT NEEDS A POLICY

Why trivy needs a policy

The tool actively executes an external scanner process (Trivy) against targets. While it is read-like in purpose (reporting vulnerabilities), it runs an external command/tool that scans systems, filesystems, or container images — making it Execute. Misuse could involve scanning sensitive systems or IaC configs, but it does not write or delete data, keeping severity at medium.

From the tool's definition Runs Trivy vulnerability/misconfiguration scanner on container images, filesystems, or IaC configs

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

trivy Rate-limited

trivy 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": {
    "trivy": {
      "limits": [
        {
          "counter": "trivy_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Python, so you can run agents against it safely.

FAQ

Questions about trivy

What does the trivy tool do? +

Runs Trivy vulnerability/misconfiguration scanner on container images, filesystems, or IaC configs. Returns structured vulnerability data with severity summary. It is categorised as a Execute tool in the Python MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on trivy? +

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

What risk level is trivy? +

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

Can I rate-limit trivy? +

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

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

trivy is provided by the Python MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

trivy is one line of Python's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →