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execute_blender_code

Execute arbitrary Python code in Blender

Risk signalsRuns arbitrary code with full Blender access

Part of the Blender server.

execute_blender_code can trigger actions in Blender, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke execute_blender_code to trigger processes or run actions in Blender. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

execute_blender_code can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_blender_code": {
      "limits": [
        {
          "counter": "execute_blender_code_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Blender policy for all 22 tools.

Get this rule live on your own Blender server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access execute_blender_code gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so execute_blender_code only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the execute_blender_code tool do? +

Execute arbitrary Python code in Blender. It is categorised as a Execute tool in the Blender MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_blender_code? +

Register the Blender MCP server in PolicyLayer and add a rule for execute_blender_code: 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 execute_blender_code? +

execute_blender_code is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_blender_code? +

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

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

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

Enforce policy on every Blender tool call.

Deterministic rules across all 22 Blender tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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