duplicate_niagara_emitter

Duplicate an emitter within a Niagara System.

SERVERUnreal-MCP SOURCEaadeshrao123/unreal-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aadeshrao123-unreal-mcp/duplicate-niagara-emitter.md

WHAT IT DOES

What duplicate_niagara_emitter does on Unreal-MCP

AI agents use duplicate_niagara_emitter to create or update resources in Unreal-MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Unreal-MCP environment.

RISK

Why duplicate_niagara_emitter is rated Medium

This tool creates a new emitter by duplicating an existing one, modifying the Niagara System structure. This is a Write operation because it adds/modifies data (new emitter instance) reversibly. The action can be undone in the editor. Severity is medium because misuse could clutter the project with unwanted emitters or waste resources, but effects are non-destructive and can be easily reverted. Confidence is high (0.

From the tool's definition 'Duplicate an emitter within a Niagara System' — creates a copy of an existing emitter, a reversible modification to the VFX system state.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs duplicate_niagara_emitter safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Unreal-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For duplicate_niagara_emitter, this is the rule to start with:

duplicate_niagara_emitter Rate-limited

duplicate_niagara_emitter stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "duplicate_niagara_emitter": {
      "limits": [
        {
          "counter": "duplicate_niagara_emitter_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Unreal-MCP, apply this rule, and every duplicate_niagara_emitter call is checked against it from then on.

FAQ

Questions about duplicate_niagara_emitter

What does the duplicate_niagara_emitter tool do? +

Duplicate an emitter within a Niagara System. It is categorised as a Write tool in the Unreal-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on duplicate_niagara_emitter? +

Register the Unreal MCP server in PolicyLayer and add a rule for duplicate_niagara_emitter: 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 Unreal-MCP. Nothing to install.

What risk level is duplicate_niagara_emitter? +

duplicate_niagara_emitter is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit duplicate_niagara_emitter? +

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

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

duplicate_niagara_emitter is provided by the Unreal MCP server (aadeshrao123/unreal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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