Re-ensure the RediSearch index (idempotent).
AI agents call repair_memory to retrieve information from N3MemoryCore Lite (Working Memory) without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though repair_memory only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Re-ensure the RediSearch index (idempotent). It is categorised as a Read tool in the N3MemoryCore Lite (Working Memory) MCP Server, which means it retrieves data without modifying state.
Register the N3MemoryCore Lite (Working Memory) MCP server in PolicyLayer and add a rule for repair_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 N3MemoryCore Lite (Working Memory). Nothing to install.
repair_memory is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the repair_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 repair_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.
repair_memory is provided by the N3MemoryCore Lite (Working Memory) MCP server (NeuralNexusNote/n3mcmcp-lite). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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