Check current server status, version, and available updates with comprehensive system information
AI agents call server_status to retrieve information from Agent Knowledge MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves system metadata and state information only. It does not create, modify, delete, or execute any operations. The read-only nature and absence of any side effects place it firmly in the Read category with low severity, as misuse cannot damage data or cause material harm.
From the tool's definition Tool description states it "Check[s] current server status, version, and available updates with comprehensive system information" — a pure query/inspection operation with no data modification, deletion, code execution, or side effects.
Documented attack patterns abuse exactly the kind of access server_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agent Knowledge MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for server_status:
{
"version": "1",
"default": "deny",
"tools": {
"server_status": {}
}
}server_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check current server status, version, and available updates with comprehensive system information. It is categorised as a Read tool in the Agent Knowledge MCP MCP Server, which means it retrieves data without modifying state.
Register the Agent Knowledge MCP server in PolicyLayer and add a rule for server_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 Agent Knowledge MCP. Nothing to install.
server_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 server_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 server_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.
server_status is provided by the Agent Knowledge MCP server (itshare4u/agentknowledgemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agent Knowledge MCP, 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.
27 Agent Knowledge MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.