memory_set_model · Claude Memory MCP: Risk & Policy

WHAT IT DOES

What memory_set_model does on Claude Memory MCP

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

WHY IT NEEDS A POLICY

Why memory_set_model needs a policy

This tool modifies system configuration (embedding model selection) rather than deleting or permanently altering data. It is a reversible change that affects how memory embeddings are processed going forward, making it a Write operation. Severity is low because switching embedding models has no direct impact on critical data integrity, financial operations, or system availability—it is a benign configuration change.

From the tool's definition The tool description states it can 'Switch embedding model between presets,' which modifies a configuration setting. The action is reversible—switching back to the previous model restores the prior state.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

memory_set_model Rate-limited

memory_set_model 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": {
    "memory_set_model": {
      "limits": [
        {
          "counter": "memory_set_model_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 Claude Memory MCP, so you can run agents against it safely.

FAQ

Questions about memory_set_model

What does the memory_set_model tool do? +

Switch embedding model between 'english' and 'multilingual' presets. It is categorised as a Write tool in the Claude Memory MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on memory_set_model? +

Register the Claude Memory MCP server in PolicyLayer and add a rule for memory_set_model: 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_set_model? +

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

Can I rate-limit memory_set_model? +

Yes. Add a rate_limit block to the memory_set_model 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_set_model completely? +

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

memory_set_model 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.