전체 지식 그래프를 읽습니다
AI agents call read_graph to retrieve information from Remote Memory MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves/queries the knowledge graph data without modifying, deleting, or executing anything. It is a passive read operation with no side effects, fitting the 'Read' category. Severity is low because reading knowledge graph data poses minimal risk even if misused by an AI agent.
From the tool's definition Tool name is 'read_graph' and description states it reads ('읽습니다') the entire knowledge graph. No write, delete, or execution capabilities indicated.
Attacks that exploit this kind of access
전체 지식 그래프를 읽습니다. It is categorised as a Read tool in the Remote Memory MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Remote Memory MCP Server MCP server in PolicyLayer and add a rule for read_graph: 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 Remote Memory MCP Server. Nothing to install.
read_graph 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 read_graph 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 read_graph. 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.
read_graph is provided by the Remote Memory MCP Server MCP server (yeomyujun/remote-memory-mcp-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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