Search for memories by key, title, or content. Args: query: The search term.
AI agents call search_memories to retrieve information from ContextKeep without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a search operation across stored memories, which is a read-only operation with no side effects. It queries existing data and returns results without altering, executing, or deleting anything. The blast radius if misused by an AI agent is minimal—worst case it returns sensitive information already stored locally, but does not create, modify, or destroy data.
From the tool's definition Tool name 'search_memories' and description 'Search for memories by key, title, or content' indicate a query operation that retrieves data without modification or deletion.
Documented attack patterns abuse exactly the kind of access search_memories gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ContextKeep, and nothing reaches the server without passing your rules. This is the rule we recommend for search_memories:
{
"version": "1",
"default": "deny",
"tools": {
"search_memories": {}
}
}search_memories is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for memories by key, title, or content. Args: query: The search term. It is categorised as a Read tool in the ContextKeep MCP Server, which means it retrieves data without modifying state.
Register the ContextKeep MCP server in PolicyLayer and add a rule for search_memories: 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 ContextKeep. Nothing to install.
search_memories 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 search_memories 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 search_memories. 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.
search_memories is provided by the ContextKeep MCP server (mordang7/contextkeep). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ContextKeep, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 ContextKeep tools catalogued and risk-classified — across an index of 43,000+ MCP servers.