memory_reembed · Claude Memory MCP: Risk & Policy

WHAT IT DOES

What memory_reembed does on Claude Memory MCP

AI agents invoke memory_reembed to trigger actions in Claude Memory MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why memory_reembed needs a policy

This tool triggers a bulk computational operation (re-embedding) across all active memories using the current model. It doesn't simply read or write a single record—it executes a batch processing pipeline that transforms and overwrites embedding vectors for all stored memories. This is an Execute category action because it runs an external model inference operation whose effects depend on the current model state.

From the tool's definition Re-embed all active memories with the current model

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

memory_reembed Rate-limited

memory_reembed stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_reembed": {
      "limits": [
        {
          "counter": "memory_reembed_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about memory_reembed

What does the memory_reembed tool do? +

Re-embed all active memories with the current model. It is categorised as a Execute tool in the Claude Memory MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on memory_reembed? +

Register the Claude Memory MCP server in PolicyLayer and add a rule for memory_reembed: 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 Claude Memory MCP. Nothing to install.

What risk level is memory_reembed? +

memory_reembed is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit memory_reembed? +

Yes. Add a rate_limit block to the memory_reembed 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_reembed completely? +

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

memory_reembed is provided by the Claude Memory MCP server (navid-kianfar/claude-memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.