Get real-time statistics for a cloud server. Returns: host IP, status, uptime_days, cpu_model, and historical stats array with date, cpu%, ram%, upload/download Mbps. Use to monitor server health and performance.
AI agents call cloud_servers_get_stats to retrieve information from StealthSurf MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though cloud_servers_get_stats only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Get real-time statistics for a cloud server. Returns: host IP, status, uptime_days, cpu_model, and historical stats array with date, cpu%, ram%, upload/download Mbps. Use to monitor server health and performance. It is categorised as a Read tool in the StealthSurf MCP Server MCP Server, which means it retrieves data without modifying state.
Register the StealthSurf MCP Server MCP server in PolicyLayer and add a rule for cloud_servers_get_stats: 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 StealthSurf MCP Server. Nothing to install.
cloud_servers_get_stats 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 cloud_servers_get_stats 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 cloud_servers_get_stats. 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.
cloud_servers_get_stats is provided by the StealthSurf MCP Server MCP server (stealthsurf-vpn/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.