collect_artifact

collect_artifact

Server Velociraptor MCP Server snoe-findley/mcp-velociraptor
Category Execute
Risk class High
Parameters 00 required

What collect_artifact does on Velociraptor MCP Server

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.

Why collect_artifact needs a policy

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'

Questions about collect_artifact

What does the collect_artifact tool do? +

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.

How do I enforce a policy on collect_artifact? +

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.

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 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.

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