Return current webapp config (LLM provider, URLs, selected model, etc.).
AI agents call config_get to retrieve information from Blender without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves existing configuration data (LLM provider, URLs, model selection) without creating, modifying, deleting, or executing any operations. It is a straightforward data query with no side effects, matching the Read category definition.
From the tool's definition Tool name 'config_get' and description 'Return current webapp config' indicate a read-only retrieval operation that queries configuration settings without modification or side effects.
Documented attack patterns abuse exactly the kind of access config_get gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Blender, and nothing reaches the server without passing your rules. This is the rule we recommend for config_get:
{
"version": "1",
"default": "deny",
"tools": {
"config_get": {}
}
}config_get is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Return current webapp config (LLM provider, URLs, selected model, etc.). It is categorised as a Read tool in the Blender MCP Server, which means it retrieves data without modifying state.
Register the Blender MCP server in PolicyLayer and add a rule for config_get: 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.
config_get 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 config_get 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 config_get. 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.
config_get 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.
Start from Blender, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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77 Blender tools catalogued and risk-classified — across an index of 43,000+ MCP servers.