Delete multiple context items by keys or pattern in a single atomic operation
AI agents call context_batch_delete to permanently remove resources in MCP Memory Keeper — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool performs irreversible deletion of context data in bulk. Even though the data is internal to a session management system rather than user-facing files, the loss of conversation context, decisions, and work history cannot be undone. The atomic nature and pattern-matching capability increase the blast radius—an AI agent given loose parameters could delete substantially more context than intended.
From the tool's definition Delete multiple context items by keys or pattern in a single atomic operation. The verb 'delete' combined with 'multiple items' and 'atomic operation' indicates irreversible removal of data.
Documented attack patterns abuse exactly the kind of access context_batch_delete gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Memory Keeper, and nothing reaches the server without passing your rules. This is the rule we recommend for context_batch_delete:
{
"version": "1",
"default": "deny",
"hide": [
"context_batch_delete"
]
} context_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.
Free to start. No card required.
Delete multiple context items by keys or pattern in a single atomic operation. It is categorised as a Destructive tool in the MCP Memory Keeper MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the MCP Memory Keeper MCP server in PolicyLayer and add a rule for context_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 Memory Keeper. Nothing to install.
context_batch_delete is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the context_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.
Set action: deny in the PolicyLayer policy for context_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.
context_batch_delete is provided by the MCP Memory Keeper MCP server (mkreyman/mcp-memory-keeper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Memory Keeper, 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.
40 MCP Memory Keeper tools catalogued and risk-classified — across an index of 43,000+ MCP servers.