mlmh_update_settings · FluentCommunity Manager MCP

WHAT IT DOES

What mlmh_update_settings does on FluentCommunity Manager

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

WHY IT NEEDS A POLICY

Why mlmh_update_settings needs a policy

This tool creates or modifies data reversibly by updating API keys and credentials in plugin settings. While sensitive (API keys), the action is not destructive (can be changed again) and does not delete data.

From the tool's definition 'Update ML Media Hub API keys and settings' - modifies configuration data (API keys, credentials). The tool changes system-level settings that persist and affect plugin behavior.

Risk signalsAdmin/system-level operation

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

mlmh_update_settings Rate-limited

mlmh_update_settings 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": {
    "mlmh_update_settings": {
      "limits": [
        {
          "counter": "mlmh_update_settings_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches FluentCommunity Manager, so you can run agents against it safely.

FAQ

Questions about mlmh_update_settings

What does the mlmh_update_settings tool do? +

Update ML Media Hub API keys and settings. Requires admin (manage_options) capability. Use this to configure SERP API key for image search and Noun Project credentials for icon search. It is categorised as a Write tool in the FluentCommunity Manager MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on mlmh_update_settings? +

Register the FluentCommunity Manager MCP server in PolicyLayer and add a rule for mlmh_update_settings: 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 FluentCommunity Manager. Nothing to install.

What risk level is mlmh_update_settings? +

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

Can I rate-limit mlmh_update_settings? +

Yes. Add a rate_limit block to the mlmh_update_settings 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 mlmh_update_settings completely? +

Set action: deny in the PolicyLayer policy for mlmh_update_settings. 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 mlmh_update_settings? +

mlmh_update_settings is provided by the FluentCommunity Manager MCP server (wplaunchify/fluent-community-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.