manage_memory · memU MCP Server MCP: Risk & Policy

WHAT IT DOES

What manage_memory does on memU MCP Server

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

WHY IT NEEDS A POLICY

Why manage_memory needs a policy

The tool spans both Write (update) and Destructive (delete) capabilities. By the severity hierarchy (Destructive > Write), this should map to Destructive; however, the vague phrasing and context of a memory management system (where deletions may be recoverable or logged) suggests the primary intent is Write operations with delete as a secondary feature.

From the tool's definition Tool description states 'Update or delete specific memories' — the 'update' operation is reversible (Write category), while 'delete' is irreversible (Destructive category).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_memory Rate-limited

manage_memory 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": {
    "manage_memory": {
      "limits": [
        {
          "counter": "manage_memory_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 memU MCP Server, so you can run agents against it safely.

FAQ

Questions about manage_memory

What does the manage_memory tool do? +

Update or delete specific memories. It is categorised as a Write tool in the memU MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_memory? +

Register the memU MCP Server MCP server in PolicyLayer and add a rule for manage_memory: 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 memU MCP Server. Nothing to install.

What risk level is manage_memory? +

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

Can I rate-limit manage_memory? +

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

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

manage_memory is provided by the memU MCP Server MCP server (monsterone1/memu-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.