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.
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:
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:
{
"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.
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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.
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.
collect_artifact is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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.
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.
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.
Start from Velociraptor MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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28 Velociraptor MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.