Advanced contextual retrieval combining semantic search, text matching, and temporal relevance. Returns the most relevant memories with multiple relevance signals.
AI agents call memory_context to retrieve information from MCP Router without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries memory data without side effects. The description explicitly indicates it returns/retrieves information (Read category). The multi-signal relevance ranking is a sophisticated search mechanism but remains a non-destructive query operation. Severity is low because misuse results in information disclosure rather than data loss, financial impact, or unauthorized execution.
From the tool's definition Tool performs 'contextual retrieval combining semantic search, text matching, and temporal relevance' and 'returns the most relevant memories' — purely data retrieval with no modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
Advanced contextual retrieval combining semantic search, text matching, and temporal relevance. Returns the most relevant memories with multiple relevance signals. It is categorised as a Read tool in the MCP Router MCP Server, which means it retrieves data without modifying state.
Register the MCP Router MCP server in PolicyLayer and add a rule for memory_context: 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 MCP Router. Nothing to install.
memory_context 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_context 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_context. 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_context is provided by the MCP Router MCP server (justinpreston/mcp-router). 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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