This record as markdown: /tools/sandraschi-blender-mcp/script-execute.md
What script_execute does on Blender
AI agents invoke script_execute to trigger actions in Blender. 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.
Why script_execute is rated High
Script execution tools can run arbitrary code within Blender, potentially modifying files, accessing the filesystem, executing system commands through Blender's Python API, or causing unintended side effects depending on script arguments.
From the tool's definition Tool named 'script_execute' on a Blender MCP server that 'Enables AI-powered control of Blender' and allows automation of 3D scenes. The name 'script_execute' directly indicates execution of scripts/code within Blender's environment.
Attacks that exploit this kind of access
The rule that runs script_execute 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 script_execute, this is the rule to start with:
script_execute 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Blender, apply this rule, and every script_execute call is checked against it from then on.
Questions about script_execute
script_execute is a execute tool on the Blender MCP server. 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.
Register the Blender MCP server in PolicyLayer and add a rule for script_execute: 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.
script_execute 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 script_execute 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 script_execute. 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.
script_execute 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.
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