AI agents call context_get_related to retrieve information from MCP Memory Keeper without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves related context items from persistent storage without creating, modifying, deleting, or executing any actions. It is a query/search operation with no side effects, fitting the Read category. The severity is low because retrieving conversation context data poses minimal risk even if misused—it cannot damage data, execute code, or trigger external operations.
From the tool's definition Tool name 'context_get_related' and description 'Get items related to a given context item' indicate a retrieval operation with no modification, deletion, or execution of external systems.
Documented attack patterns abuse exactly the kind of access context_get_related gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Memory Keeper, and nothing reaches the server without passing your rules. This is the rule we recommend for context_get_related:
{
"version": "1",
"default": "deny",
"tools": {
"context_get_related": {}
}
} context_get_related is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get items related to a given context item. It is categorised as a Read tool in the MCP Memory Keeper MCP Server, which means it retrieves data without modifying state.
Register the MCP Memory Keeper MCP server in PolicyLayer and add a rule for context_get_related: 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 Memory Keeper. Nothing to install.
context_get_related 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 context_get_related 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 context_get_related. 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.
context_get_related is provided by the MCP Memory Keeper MCP server (mkreyman/mcp-memory-keeper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Memory Keeper, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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40 MCP Memory Keeper tools catalogued and risk-classified — across an index of 43,000+ MCP servers.