Delete a memory and all its connections
AI agents call delete_memory to permanently remove resources in Neo4j Agent Memory MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool irreversibly deletes data (a memory record and its graph connections) from the Neo4j database. Deletion cannot be undone without restore procedures outside this tool's scope. This is a destructive operation with high blast radius if an AI agent is manipulated into deleting critical memories or connection metadata.
From the tool's definition Tool name is 'delete_memory' with description 'Delete a memory and all its connections' — uses the verb 'Delete' and explicitly states irreversible removal of data and associated relationships.
Documented attack patterns abuse exactly the kind of access delete_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Neo4j Agent Memory MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_memory:
{
"version": "1",
"default": "deny",
"hide": [
"delete_memory"
]
} delete_memory 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 a memory and all its connections. It is categorised as a Destructive tool in the Neo4j Agent Memory MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Neo4j Agent Memory MCP Server MCP server in PolicyLayer and add a rule for delete_memory: 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 Neo4j Agent Memory MCP Server. Nothing to install.
delete_memory 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 delete_memory 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 delete_memory. 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.
delete_memory is provided by the Neo4j Agent Memory MCP Server MCP server (knowall-ai/mcp-neo4j-agent-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Neo4j Agent Memory MCP Server, 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.
9 Neo4j Agent Memory MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.