memory_search
AI agents call memory_search to retrieve information from Mono Memory MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name 'memory_search' and the server's stated purpose of providing 'storing and retrieving project context', this tool retrieves data from a persistent SQLite-backed memory store without modifying it. Search operations are fundamentally read-only queries with no side effects.
From the tool's definition Tool name 'memory_search' indicates querying/retrieval operation. Server description establishes this is a memory storage system for 'storing and retrieving project context'.
Attacks that exploit this kind of access
memory_search. It is categorised as a Read tool in the Mono Memory MCP MCP Server, which means it retrieves data without modifying state.
Register the Mono Memory MCP server in PolicyLayer and add a rule for memory_search: 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 Mono Memory MCP. Nothing to install.
memory_search 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_search 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_search. 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_search is provided by the Mono Memory MCP server (potato-castle/mono-memory-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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