This record as markdown: /tools/easehee-rhino-mcp/gh-delete-component.md
What gh_delete_component does on Rhino
AI agents call gh_delete_component to permanently remove resources in Rhino, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why gh_delete_component is rated Critical
The tool explicitly removes/deletes a component from the Grasshopper canvas. Deletion of components can cascade, breaking connections and dependent logic in the graph, and is not easily reversible without an undo history. This fits the Destructive category with high severity given the potential blast radius of removing a key component from a computational design pipeline.
From the tool's definition 'Remove a component from the canvas' — deletion of a canvas component is an irreversible destructive action
Attacks that exploit this kind of access
The rule that runs gh_delete_component safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rhino, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gh_delete_component, this is the rule to start with:
gh_delete_component is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Rhino, apply this rule, and every gh_delete_component call is checked against it from then on.
Questions about gh_delete_component
Remove a component from the canvas. It is categorised as a Destructive tool in the Rhino MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Rhino MCP server in PolicyLayer and add a rule for gh_delete_component: 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 Rhino. Nothing to install.
gh_delete_component is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the gh_delete_component 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 gh_delete_component. 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.
gh_delete_component is provided by the Rhino MCP server (easehee/rhino-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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