MCP Servers

System Monitor MCP Server

Gives AI agents real-time access to system metrics, process management, and container orchestration.

README

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

Tool	Description	Returns
`get_system_load()`	CPU, memory, swap usage	CPU%, Memory%, Swap%, Load avg
`get_process_list()`	Running processes sorted by CPU/memory	PID, name, CPU%, memory%, status
`get_disk_usage()`	Disk usage per mount point	Mount, total, used, available, usage%
`get_docker_status()`	Docker container status	Container name, status, uptime, ports, image
`tail_log(path, lines)`	Tail log files	Last N lines with timestamps

💡 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

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