llm_models

A other tool on the Blender MCP server.

SERVERBlender SOURCEsandraschi/blender-mcp

Low RISK CLASS

Category Other

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/sandraschi-blender-mcp/llm-models.md

WHAT IT DOES

What llm_models does on Blender

AI agents call llm_models as a supporting operation in Blender workflows.

RISK

Why llm_models is rated Low

With no description available, the tool's purpose can only be guessed from its name. 'llm_models' likely lists or retrieves available language models, which would be a Read operation. However, given the empty description, confidence is low. Defaulting to Other due to insufficient information, though Read is the most probable category.

From the tool's definition Tool name is 'llm_models' and description is empty or uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs llm_models safely

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

llm_models Rate-limited

llm_models gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "llm_models": {
      "limits": [
        {
          "counter": "llm_models_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about llm_models

What does the llm_models tool do? +

llm_models is a other tool on the Blender MCP server. It is categorised as a Other tool in the Blender MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on llm_models? +

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

What risk level is llm_models? +

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

Can I rate-limit llm_models? +

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

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

llm_models is provided by the Blender MCP server (sandraschi/blender-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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