Get IFC entities corresponding to the currently selected objects in Blender.
AI agents call get_selected_ifc_entities to retrieve information from Bonsai-mcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata about currently selected IFC entities in Blender. It performs no side effects, creates no data, executes no code, deletes nothing, and moves no money. The operation is purely informational — querying the state of selected objects and returning their corresponding IFC entity data.
From the tool's definition Tool description states 'Get IFC entities corresponding to the currently selected objects in Blender' — a retrieval operation with the verb 'Get' indicating data querying without modification.
Documented attack patterns abuse exactly the kind of access get_selected_ifc_entities gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Bonsai-mcp, and nothing reaches the server without passing your rules. This is the rule we recommend for get_selected_ifc_entities:
{
"version": "1",
"default": "deny",
"tools": {
"get_selected_ifc_entities": {}
}
} get_selected_ifc_entities is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get IFC entities corresponding to the currently selected objects in Blender. It is categorised as a Read tool in the Bonsai-mcp MCP Server, which means it retrieves data without modifying state.
Register the Bonsai- MCP server in PolicyLayer and add a rule for get_selected_ifc_entities: 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 Bonsai-mcp. Nothing to install.
get_selected_ifc_entities is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_selected_ifc_entities 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 get_selected_ifc_entities. 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.
get_selected_ifc_entities is provided by the Bonsai- MCP server (jotaderodriguez/bonsai_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Bonsai-mcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
17 Bonsai-mcp tools catalogued and risk-classified — across an index of 43,000+ MCP servers.