frame_selected · Blender MCP: Risk & Policy

WHAT IT DOES

What frame_selected does on BlenderMCP

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

WHY IT NEEDS A POLICY

Why frame_selected needs a policy

An AI agent can call frame_selected faster than any human can review — one bad instruction and it creates or modifies resources in BlenderMCP by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

frame_selected Rate-limited

frame_selected 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": {
    "frame_selected": {
      "limits": [
        {
          "counter": "frame_selected_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches BlenderMCP, so you can run agents against it safely.

FAQ

Questions about frame_selected

What does the frame_selected tool do? +

Frame the currently selected objects in the viewport. It is categorised as a Write tool in the BlenderMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on frame_selected? +

Register the Blender MCP server in PolicyLayer and add a rule for frame_selected: 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 BlenderMCP. Nothing to install.

What risk level is frame_selected? +

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

Can I rate-limit frame_selected? +

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

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

frame_selected is provided by the Blender MCP server (shirshovdim/retopoflow_blender_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.