set_niagara_vector

Set a vector parameter on a Niagara component.

SERVERUnreal SOURCE@jjpxdev/unreal-mcp

Medium RISK CLASS

Category Write

Parameters 33 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/jjpxdev-unreal-mcp/set-niagara-vector.md

WHAT IT DOES

What set_niagara_vector does on Unreal

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

Parameter	Type	Required	Description
`value`	object	Yes	Vector value
`actor_name`	string	Yes	Actor with Niagara component
`parameter_name`	string	Yes	Parameter name

Parameters from the server's own tool schema.

RISK

Why set_niagara_vector is rated Medium

This tool modifies visual/simulation parameters on a Niagara component (Unreal's particle effects system) by setting a vector parameter. This is a reversible write operation—changes can be undone by setting different values. It does not execute arbitrary code, delete data, or cause financial impact.

From the tool's definition Tool name 'set_niagara_vector' and description 'Set a vector parameter on a Niagara component' indicate modification of a parameter on an existing Niagara (particle system) component.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs set_niagara_vector safely

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

set_niagara_vector Rate-limited

set_niagara_vector 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": {
    "set_niagara_vector": {
      "limits": [
        {
          "counter": "set_niagara_vector_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, apply this rule, and every set_niagara_vector call is checked against it from then on.

FAQ

Questions about set_niagara_vector

What does the set_niagara_vector tool do? +

Set a vector parameter on a Niagara component. It is categorised as a Write tool in the Unreal MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does set_niagara_vector accept? +

set_niagara_vector accepts 3 parameters: value, actor_name, parameter_name. Required: value, actor_name, parameter_name. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on set_niagara_vector? +

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

What risk level is set_niagara_vector? +

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

Can I rate-limit set_niagara_vector? +

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

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

set_niagara_vector is provided by the Unreal MCP server (@jjpxdev/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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