Identify resource-intensive processes on macOS across CPU, memory, and network.
AI agents call get_resource_intensive_processes to retrieve information from MacOS Resource Monitor MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and filters process information from the macOS system for monitoring purposes. It performs read-only queries of system state (CPU, memory, network usage metrics) with no side effects, no execution of arbitrary code, and no data modification. The low severity reflects minimal security risk—exposing process monitoring data to an AI agent is a standard observability concern with limited blast radius.
From the tool's definition Tool description states 'Identify resource-intensive processes' - a query/retrieval operation that gathers and reports system information without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access get_resource_intensive_processes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MacOS Resource Monitor MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_resource_intensive_processes:
{
"version": "1",
"default": "deny",
"tools": {
"get_resource_intensive_processes": {}
}
}get_resource_intensive_processes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Identify resource-intensive processes on macOS across CPU, memory, and network. It is categorised as a Read tool in the MacOS Resource Monitor MCP Server MCP Server, which means it retrieves data without modifying state.
Register the MacOS Resource Monitor MCP Server MCP server in PolicyLayer and add a rule for get_resource_intensive_processes: 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 MacOS Resource Monitor MCP Server. Nothing to install.
get_resource_intensive_processes 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_resource_intensive_processes 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_resource_intensive_processes. 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_resource_intensive_processes is provided by the MacOS Resource Monitor MCP Server MCP server (pratyay/mac-monitor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MacOS Resource Monitor MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
3 MacOS Resource Monitor MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.