System Monitor MCP Server — Real-Time Infrastructure Monitoring for AI Agents

Give your AI agent real-time access to system metrics, process management, and container orchestration.

🚀 Quick Install

Claude Desktop

{
  "mcpServers": {
    "system-monitor": {
      "command": "python",
      "args": ["-m", "server"],
      "env": {
        "PYTHONPATH": "${workspaceFolder}/src"
      }
    }
  }
}

VS Code (Continue)

{
  "experimental": {
    "mcpServers": {
      "system-monitor": {
        "command": "python",
        "args": ["server.py"]
      }
    }
  }
}

Docker

docker build -t system-monitor-mcp .
docker run -v /var/run/docker.sock:/var/run/docker.sock system-monitor-mcp

🛠️ Tools

💡 Use Cases

• Self-monitoring — AI agents that monitor their own infrastructure

• DevOps automation — Deploy, restart, and manage services autonomously

• Incident response — Detect and diagnose issues in real-time

• Resource optimization — Analyze usage patterns and suggest cost savings

📋 Requirements

• Python 3.10+

• Linux (most features) / macOS (partial) / Windows (limited)

• Docker (optional — for container monitoring)

• psutil, mcp, docker-py

🔐 Security

• Read-only by design — no kill/rm/create operations exposed

• No root required — runs with user-level permissions

• Sandboxed log access — path traversal protection built in

Part of the Hermes Agent ecosystem