save_to_memory · Vector Memory MCP Server MCP: Risk & Policy

WHAT IT DOES

What save_to_memory does on Vector Memory MCP Server

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

WHY IT NEEDS A POLICY

Why save_to_memory needs a policy

This tool creates or modifies stored data (memory entries) in a potentially persistent system. While reversible (Write category, not Destructive), misuse could store sensitive information, corrupt the memory system with junk data, or cause an AI agent to overwrite important prior context. Medium severity reflects the data integrity and privacy risks without financial or irreversible consequences.

From the tool's definition Tool name 'save_to_memory' combined with sibling tool 'save_text_to_memory' and server description indicating it 'save[s] and recall[s] information from files or free-form notes' confirms this writes/creates data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

save_to_memory Rate-limited

save_to_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": {
    "save_to_memory": {
      "limits": [
        {
          "counter": "save_to_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 Vector Memory MCP Server, so you can run agents against it safely.

FAQ

Questions about save_to_memory

What does the save_to_memory tool do? +

save_to_memory. It is categorised as a Write tool in the Vector Memory 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 save_to_memory? +

Register the Vector Memory MCP Server MCP server in PolicyLayer and add a rule for save_to_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 Vector Memory MCP Server. Nothing to install.

What risk level is save_to_memory? +

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

Can I rate-limit save_to_memory? +

Yes. Add a rate_limit block to the save_to_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 save_to_memory completely? +

Set action: deny in the PolicyLayer policy for save_to_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 save_to_memory? +

save_to_memory is provided by the Vector Memory MCP Server MCP server (neerajg03/vector-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.