Get memory system status: monitoring state, context count, cache stats.
AI agents call get_memory_status to retrieve information from DevMind MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and reports on the current state of the memory system (monitoring state, context count, cache statistics). It is a pure read operation that queries the state of the system without creating, modifying, deleting, or executing anything. There are no side effects or irreversible actions. The blast radius is minimal—misuse would only expose internal system metrics without enabling harmful actions.
From the tool's definition Tool name 'get_memory_status' and description 'Get memory system status: monitoring state, context count, cache stats' indicate retrieval of system status information without modification or execution.
Documented attack patterns abuse exactly the kind of access get_memory_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DevMind MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_memory_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_memory_status": {}
}
}get_memory_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get memory system status: monitoring state, context count, cache stats. It is categorised as a Read tool in the DevMind MCP MCP Server, which means it retrieves data without modifying state.
Register the DevMind MCP server in PolicyLayer and add a rule for get_memory_status: 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 DevMind MCP. Nothing to install.
get_memory_status 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 get_memory_status 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 get_memory_status. 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.
get_memory_status is provided by the DevMind MCP server (jochenyang/devmind-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DevMind MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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13 DevMind MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.