Low Risk

unity_profiler_memory

Get detailed memory usage breakdown: total allocated, reserved, Mono heap used/size, graphics driver memory, temp allocator size, and GC info. Values are returned in both bytes and human-readable MB.

How to control unity_profiler_memory ↓

AI agents call unity_profiler_memory to retrieve information from Unity MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool queries and returns memory profiling metrics (allocated memory, Mono heap, graphics memory, etc.) from the Unity profiler. It performs no side effects, creates no resources, executes no code, and does not modify any state. It is purely informational retrieval, fitting the 'Read' category.

From the tool's definition Tool name 'unity_profiler_memory' and description 'Get detailed memory usage breakdown' indicates a read-only operation that retrieves profiling data without modifying or executing anything.

Documented attack patterns abuse exactly the kind of access unity_profiler_memory gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Unity MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for unity_profiler_memory:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "unity_profiler_memory": {}
  }
}

unity_profiler_memory is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Unity MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the unity_profiler_memory tool do? +

Get detailed memory usage breakdown: total allocated, reserved, Mono heap used/size, graphics driver memory, temp allocator size, and GC info. Values are returned in both bytes and human-readable MB. It is categorised as a Read tool in the Unity MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on unity_profiler_memory? +

Register the Unity MCP Server MCP server in PolicyLayer and add a rule for unity_profiler_memory: 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 Unity MCP Server. Nothing to install.

What risk level is unity_profiler_memory? +

unity_profiler_memory is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit unity_profiler_memory? +

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

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

unity_profiler_memory is provided by the Unity MCP Server MCP server (anklebreaker-studio/unity-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Unity MCP Server tool call.

Deterministic rules across all 324 Unity MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

324 Unity MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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