query_memory
AI agents call query_memory to retrieve information from CodeFlow MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to query the persistent vector storage for code analysis metadata without modifying data. While the description is empty, the naming convention ('query_*') and context of sibling read operations ('get_*', 'list_*') strongly indicate this is a retrieval operation with no side effects.
From the tool's definition Tool name 'query_memory' combined with sibling tools like 'list_memory' and 'get_call_graph' suggests data retrieval.
Attacks that exploit this kind of access
query_memory. It is categorised as a Read tool in the CodeFlow MCP Server MCP Server, which means it retrieves data without modifying state.
Register the CodeFlow MCP Server MCP server in PolicyLayer and add a rule for query_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 CodeFlow MCP Server. Nothing to install.
query_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 query_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 query_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.
query_memory is provided by the CodeFlow MCP Server MCP server (mrorigo/code-flow-mcp). 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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