Execute arbitrary Python code in Blender.
AI agents invoke execute_blender_code to trigger actions in BlenderMCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool permits unrestricted execution of Python code within the Blender environment, which can have severe consequences: it can modify or delete scene objects, access the file system, make network requests, load malicious scripts, and perform any operation that Blender's Python API exposes. An AI agent misusing this tool could irreversibly corrupt projects, exfiltrate data, or compromise the host system.
From the tool's definition Tool name 'execute_blender_code' and description 'Execute arbitrary Python code in Blender' directly indicate execution of arbitrary code.
Attacks that exploit this kind of access
Execute arbitrary Python code in Blender. 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.
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.
execute_blender_code is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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.
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.
execute_blender_code is provided by the Blender MCP server (richard-devbot/blender-mcp-csm). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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