collect_artifact
AI agents invoke collect_artifact to trigger actions in Velociraptor MCP Server. 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.
In Velociraptor, collecting an artifact means remotely executing a VQL query or forensic collection task on one or more endpoints. This is an active operation that triggers remote execution rather than simply reading existing data.
From the tool's definition Tool name 'collect_artifact' on a Velociraptor server described as enabling 'artifact collection across multiple operating systems'
Attacks that exploit this kind of access
collect_artifact. It is categorised as a Execute tool in the Velociraptor MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Velociraptor MCP Server 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 Server. 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 MCP server (snoe-findley/mcp-velociraptor). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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