config_set

Update webapp config. Pass keys: server_host, server_port, theme, auto_sync, notifications, llm.

SERVERBlender SOURCEsandraschi/blender-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/sandraschi-blender-mcp/config-set.md

WHAT IT DOES

What config_set does on Blender

AI agents use config_set to create or update resources in Blender, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Blender environment.

RISK

Why config_set is rated Medium

This tool modifies configuration state reversibly. While it changes system behavior (host, port, theme, LLM settings), these changes are not destructive and can be reverted. The ability to change server_host and server_port could affect connectivity and potentially expose security implications, warranting medium severity rather than low.

From the tool's definition Tool description states 'Update webapp config' with specific configuration keys (server_host, server_port, theme, auto_sync, notifications, llm), indicating modification of settings.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs config_set 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 config_set, this is the rule to start with:

config_set Rate-limited

config_set stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "config_set": {
      "limits": [
        {
          "counter": "config_set_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Blender, apply this rule, and every config_set call is checked against it from then on.

FAQ

Questions about config_set

What does the config_set tool do? +

Update webapp config. Pass keys: server_host, server_port, theme, auto_sync, notifications, llm. It is categorised as a Write tool in the Blender MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on config_set? +

Register the Blender MCP server in PolicyLayer and add a rule for config_set: 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.

What risk level is config_set? +

config_set is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit config_set? +

Yes. Add a rate_limit block to the config_set 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.

How do I block config_set completely? +

Set action: deny in the PolicyLayer policy for config_set. 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.

What MCP server provides config_set? +

config_set 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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