memory_find
AI agents call memory_find to retrieve information from Personal Neo4j Memory Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool's purpose is to query or retrieve data from the Neo4j graph-based memory system. No description is provided, which slightly lowers confidence, but the naming convention strongly suggests a non-destructive lookup operation consistent with semantic search functionality mentioned in the server description. This aligns with the Read category: retrieves data with no side effects.
From the tool's definition Tool name 'memory_find' indicates a search or retrieval operation. Sibling tools 'memory_modify' and 'memory_store' suggest this tool is part of a memory management suite where 'find' performs the read operation while others handle mutations.
Attacks that exploit this kind of access
memory_find. It is categorised as a Read tool in the Personal Neo4j Memory Server MCP Server, which means it retrieves data without modifying state.
Register the Personal Neo4j Memory Server MCP server in PolicyLayer and add a rule for memory_find: 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 Personal Neo4j Memory Server. Nothing to install.
memory_find 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 memory_find 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 memory_find. 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.
memory_find is provided by the Personal Neo4j Memory Server MCP server (jeelidev/personal-neo4j-memory-server). 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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