Low Risk

memory_list

Returns a compact index of all accessible memories (id, summary, visibility, user, updatedAt). Call at session start and before memory_add to check for duplicates or memories to update. Max 100 results. You see: all org memories, user memories matching your user, and your own token memories.

How to control memory_list ↓

What memory_list does on Shellgate

AI agents call memory_list to retrieve information from Shellgate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why memory_list needs a policy

This tool performs a pure data retrieval operation—querying and returning metadata about memories in an index format. It has no capacity to modify, delete, or execute operations. The visibility filtering (org, user, token-scoped) suggests appropriate access controls are in place.

From the tool's definition Tool name 'memory_list' and description 'Returns a compact index of all accessible memories (id, summary, visibility, user, updatedAt)' indicates a read-only query operation.

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

How to control memory_list

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_list": {}
  }
}

memory_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Shellgate — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about memory_list

What does the memory_list tool do? +

Returns a compact index of all accessible memories (id, summary, visibility, user, updatedAt). Call at session start and before memory_add to check for duplicates or memories to update. Max 100 results. You see: all org memories, user memories matching your user, and your own token memories. It is categorised as a Read tool in the Shellgate MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_list? +

Register the Shellgate MCP server in PolicyLayer and add a rule for memory_list: 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 Shellgate. Nothing to install.

What risk level is memory_list? +

memory_list is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit memory_list? +

Yes. Add a rate_limit block to the memory_list 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_list completely? +

Set action: deny in the PolicyLayer policy for memory_list. 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_list? +

memory_list is provided by the Shellgate MCP server (matthiastjong/shellgate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Shellgate tool call.

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

Free to start. No card required.

31 Shellgate tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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