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collect_artifact

collect_artifact

How to control collect_artifact ↓

What collect_artifact does on Velociraptor MCP

AI agents invoke collect_artifact to trigger actions in Velociraptor MCP. 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.

High Risk

Why collect_artifact needs a policy

Velociraptor's 'collect_artifact' operation triggers active data collection on remote endpoints, executing forensic artifact collection jobs. Based on the server context (forensic triage, Windows endpoints) and sibling tool 'collect_forensic_triage', this tool likely initiates remote execution of collection tasks on live systems.

From the tool's definition Tool name 'collect_artifact' on a Velociraptor forensic triage MCP server; description is empty/uninformative.

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

How to control collect_artifact

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "collect_artifact": {
      "limits": [
        {
          "counter": "collect_artifact_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

collect_artifact 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.

  1. Create a free account and register Velociraptor MCP — 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.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about collect_artifact

What does the collect_artifact tool do? +

collect_artifact. It is categorised as a Execute tool in the Velociraptor MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on collect_artifact? +

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

What risk level is collect_artifact? +

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

Can I rate-limit collect_artifact? +

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

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

collect_artifact is provided by the Velociraptor MCP server (mgreen27/mcp-velociraptor). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Velociraptor MCP tool call.

Start from Velociraptor MCP, 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.

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

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