execute_blender_code
A execute tool on the Blend Ai MCP server.
This record as markdown: /tools/holdmybeer-gg-blend-ai/execute-blender-code.md
What execute_blender_code does on Blend Ai
AI agents invoke execute_blender_code to trigger actions in Blend Ai. 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 execute_blender_code is rated High
execute_blender_code triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs execute_blender_code safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Blend Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For execute_blender_code, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect Blend Ai, apply this rule, and every execute_blender_code call is checked against it from then on.
Questions about execute_blender_code
execute_blender_code is a execute tool on the Blend Ai MCP server. It is categorised as a Execute tool in the Blend Ai MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Blend Ai 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 Blend Ai. 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 Blend Ai MCP server (holdmybeer-gg/blend-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Blend Ai, and thousands of servers like it.
Across the catalogue