memory_modify · Personal Neo4j Memory Server MCP

WHAT IT DOES

What memory_modify does on Personal Neo4j Memory Server

AI agents use memory_modify to create or update resources in Personal Neo4j Memory Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Personal Neo4j Memory Server environment.

WHY IT NEEDS A POLICY

Why memory_modify needs a policy

The tool operates on persistent memory data in a Neo4j graph database. While the empty description prevents full certainty, the name clearly indicates data modification rather than retrieval (Read), deletion (Destructive), or execution of arbitrary code (Execute).

From the tool's definition Tool name 'memory_modify' indicates modification of stored data. No description provided, but the sibling tools 'memory_find' and 'memory_store' suggest this server manages persistent graph-based memory in Neo4j.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

memory_modify Rate-limited

memory_modify 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_modify": {
      "limits": [
        {
          "counter": "memory_modify_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 Personal Neo4j Memory Server, so you can run agents against it safely.

FAQ

Questions about memory_modify

What does the memory_modify tool do? +

memory_modify. It is categorised as a Write tool in the Personal Neo4j Memory 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 memory_modify? +

Register the Personal Neo4j Memory Server MCP server in PolicyLayer and add a rule for memory_modify: 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 Personal Neo4j Memory Server. Nothing to install.

What risk level is memory_modify? +

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

Can I rate-limit memory_modify? +

Yes. Add a rate_limit block to the memory_modify 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_modify completely? +

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

memory_modify is provided by the Personal Neo4j Memory Server MCP server (jeelidev/personal-neo4j-memory-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.