Critical Risk →

memory_batch_delete

BATCH DELETE BULK REMOVE - Delete multiple memories at once. Keywords: batch delete, bulk remove, mass delete, delete many, remove all, clear multiple

How to control memory_batch_delete ↓

AI agents call memory_batch_delete to permanently remove resources in MCP AI Memory — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

This tool permanently removes multiple memory records in bulk without apparent recovery mechanism. The irreversible nature of deletion combined with the batch/bulk operation scope (affecting many records simultaneously) makes this a Destructive action.

From the tool's definition Tool name includes 'delete' and description explicitly states 'BATCH DELETE BULK REMOVE - Delete multiple memories at once' with keywords 'batch delete, bulk remove, mass delete, delete many, remove all, clear multiple'.

Risk signalsBulk/mass operation — affects multiple targets

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "memory_batch_delete"
  ]
}

memory_batch_delete disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register MCP AI Memory — 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.
RESTRICT THIS TOOL →

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Go deeper

What does the memory_batch_delete tool do? +

BATCH DELETE BULK REMOVE - Delete multiple memories at once. Keywords: batch delete, bulk remove, mass delete, delete many, remove all, clear multiple. It is categorised as a Destructive tool in the MCP AI Memory MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on memory_batch_delete? +

Register the MCP AI Memory MCP server in PolicyLayer and add a rule for memory_batch_delete: 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 MCP AI Memory. Nothing to install.

What risk level is memory_batch_delete? +

memory_batch_delete is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit memory_batch_delete? +

Yes. Add a rate_limit block to the memory_batch_delete 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_batch_delete completely? +

Set action: deny in the PolicyLayer policy for memory_batch_delete. 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_batch_delete? +

memory_batch_delete is provided by the MCP AI Memory MCP server (scanadi/mcp-ai-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP AI Memory tool call.

Deterministic rules across all 17 MCP AI Memory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

17 MCP AI Memory tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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