Retrieve all relationships from the knowledge graph
AI agents call get_relations to retrieve information from LightRAG MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool fetches existing relationship data from the knowledge graph without modifying, creating, or deleting anything. This is a straightforward read operation with low blast radius since misuse would only expose data, not alter it.
From the tool's definition 'Retrieve all relationships from the knowledge graph' - purely a retrieval operation with no side effects
Attacks that exploit this kind of access
Retrieve all relationships from the knowledge graph. It is categorised as a Read tool in the LightRAG MCP Server MCP Server, which means it retrieves data without modifying state.
Register the LightRAG MCP Server MCP server in PolicyLayer and add a rule for get_relations: 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 LightRAG MCP Server. Nothing to install.
get_relations 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 get_relations 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 get_relations. 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.
get_relations is provided by the LightRAG MCP Server MCP server (lalitsuryan/lightragmcp). 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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