memory_config

THE RISK

Low Risk

Why memory_config needs a policy

With no description available, the tool's behavior cannot be determined with confidence. The name 'memory_config' suggests it may read or write configuration settings for the local memory system. Given sibling tools include destructive operations (purge, forget) and read operations (recall, explore), a config tool most likely reads or modifies settings.

From the tool's definition Tool name is 'memory_config' but description is empty and uninformative.

Documented attack patterns abuse exactly the kind of access memory_config gives an agent:

POLICY

How to control memory_config

PolicyLayer is an MCP gateway — it sits between your AI agents and Locus, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_config:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_config": {
      "limits": [
        {
          "counter": "memory_config_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

memory_config gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register Locus — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Locus tools

Destructive memory_purge memory_purge Destructive memory_compact memory_compact Destructive memory_forget memory_forget Write memory_import_codex memory_import_codex Read memory_audit memory_audit Read memory_calendar memory_calendar Read memory_doctor memory_doctor Read memory_explore memory_explore

All 17 Locus tools →

Other tools on other servers

Android Forensics ADB MCP Server generate_app_analysis_report Ethereum Tools add Math MCP Server complex_analysis_suite Crypto_MCP aes_encrypt

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about memory_config

What does the memory_config tool do? +

memory_config. It is categorised as a Other tool in the Locus MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on memory_config? +

Register the Locus MCP server in PolicyLayer and add a rule for memory_config: 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 Locus. Nothing to install.

What risk level is memory_config? +

memory_config is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit memory_config? +

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

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

memory_config is provided by the Locus MCP server (magnifico4625/locus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Locus tool call.

Start from Locus, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →