AI agents call recent_context to retrieve information from Turbo Quant Memory MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
With no description provided, inference relies on the tool name and server purpose. 'Recent context' implies querying stored memory rather than creating, modifying, or deleting data. The server is designed for retrieval and storage of coding context. No evidence of side effects, destructive operations, or external execution. Classified as Read with medium-low confidence due to empty description.
From the tool's definition The tool is listed alongside other utilities in a memory/knowledge graph system. Its name 'recent_context' and position among sibling tools (get_secret, get_related_entities, list_scopes) suggests it retrieves recently stored context or query history without…
Documented attack patterns abuse exactly the kind of access recent_context gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Turbo Quant Memory MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for recent_context:
{
"version": "1",
"default": "deny",
"tools": {
"recent_context": {}
}
}recent_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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recent_context. It is categorised as a Read tool in the Turbo Quant Memory MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Turbo Quant Memory MCP Server MCP server in PolicyLayer and add a rule for recent_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 Turbo Quant Memory MCP Server. Nothing to install.
recent_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 recent_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 recent_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.
recent_context is provided by the Turbo Quant Memory MCP Server MCP server (lexus2016/turbo_quant_memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Turbo Quant Memory MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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19 Turbo Quant Memory MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.