memory_pull

THE RISK

Medium Risk

Why memory_pull needs a policy

This tool copies/moves shared memory files into personal storage, which constitutes a write operation — it creates or modifies data in the user's personal storage area. The action is likely reversible (files can be deleted), so it doesn't qualify as Destructive.

From the tool's definition Pull shared memory file(s) into your personal storage

Documented attack patterns abuse exactly the kind of access memory_pull gives an agent:

POLICY

How to control memory_pull

PolicyLayer is an MCP gateway — it sits between your AI agents and Odoo Claude MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_pull:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_pull": {
      "limits": [
        {
          "counter": "memory_pull_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

memory_pull 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.

Create a free account and register Odoo Claude MCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Odoo Claude MCP tools

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All 180 Odoo Claude MCP tools →

Write tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about memory_pull

What does the memory_pull tool do? +

Pull shared memory file(s) into your personal storage. It is categorised as a Write tool in the Odoo Claude 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_pull? +

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

What risk level is memory_pull? +

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

Can I rate-limit memory_pull? +

Yes. Add a rate_limit block to the memory_pull 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_pull completely? +

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

memory_pull is provided by the Odoo Claude MCP server (rosenvladimirov/odoo-claude-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Odoo Claude MCP tool call.

Start from Odoo Claude MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →