execute_blender_code

THE RISK

High Risk

Why execute_blender_code needs a policy

This tool permits execution of arbitrary Python code within Blender's runtime environment. Python in Blender has full access to the filesystem, network, scene data, and external processes. An AI agent could use this to read sensitive files, modify/delete 3D assets irreversibly, exfiltrate data, or execute malicious commands.

From the tool's definition "Execute arbitrary Python code in Blender" — the tool explicitly allows execution of arbitrary code with no constraints mentioned on what operations are permitted.

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

POLICY

How to control execute_blender_code

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

policy.json

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

execute_blender_code stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register BlenderMCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

High-risk tools in BlenderMCP → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about execute_blender_code

What does the execute_blender_code tool do? +

Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks. It is categorised as a Execute tool in the BlenderMCP 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 BlenderMCP. 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 (nanashi1526/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 BlenderMCP tool call.

Start from BlenderMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →