memory_query

Query the knowledge graph for specific entities by name, type, or semantic similarity.

Server Jt @houkasaurusrex/jt-mcp-server
Category Read
Risk class Low
Parameters 00 required

What memory_query does on Jt

AI agents call memory_query to retrieve information from Jt without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why memory_query needs a policy

The tool performs a search/retrieval operation against a knowledge graph to fetch entities matching specified criteria. This is a standard Read operation—it retrieves data without creating, modifying, deleting, or executing external operations. No destructive or financial impacts are possible.

From the tool's definition Tool description states it 'Query[s] the knowledge graph for specific entities by name, type, or semantic similarity.' Query operations are read-only retrieval operations with no modification or side effects.

Questions about memory_query

What does the memory_query tool do? +

Query the knowledge graph for specific entities by name, type, or semantic similarity. It is categorised as a Read tool in the Jt MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_query? +

Register the Jt MCP server in PolicyLayer and add a rule for memory_query: 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 Jt. Nothing to install.

What risk level is memory_query? +

memory_query is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit memory_query? +

Yes. Add a rate_limit block to the memory_query 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.

How do I block memory_query completely? +

Set action: deny in the PolicyLayer policy for memory_query. 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.

What MCP server provides memory_query? +

memory_query is provided by the Jt MCP server (@houkasaurusrex/jt-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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