Divlens runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 31 May 2026.
Real-time system diagnostics for AI agents — CPU, RAM, disk, network, hardware health. 17 tools.
We read the source, 2 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
dirs::home_dir().map(|h| h.join("Library/LaunchAgents/io.divlens.mcp.plist"))
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Read-only VMware ESXi diagnostics: CPU Ready, disk latency, snapshots, real space, hardware health.
IP intelligence, network diagnostics, and AI service availability tools for AI agents.
Linux MCP server for real-time system monitoring - CPU, memory, disk, network, processes, Docker.
Read-only network & security recon tools (DNS, TLS, headers, CORS) for AI agents, each graded.
Read-only Spring Boot runtime evidence for agents: beans, routes, health, startup.
Network, domain and website diagnostics for AI clients via MCP.
Read-only MAC address, OUI, and vendor lookup tools for network diagnostics.
Deterministic computation tools for AI agents. Zero dependencies, no network, read-only.
Answers built from our own checks of this server.