# Advantech GAIS MCP Server

A Model Context Protocol (MCP) server implementation for monitoring system status and hardware resources through Grafana and Prometheus.

## Features

- Real-time system monitoring:
  - CPU usage
  - Memory usage
  - Disk usage
  - GPU monitoring (if available):
    - GPU power consumption
    - GPU temperature
    - GPU VRAM usage

## Installation

```bash
npm install advantech-gais-mcp
```

For one-time usage, you can also use npx:
```bash
npx -y advantech-gais-mcp@latest
```

## MCP Configuration

Add this to your MCP config:
```json
"GAISMCP": {
  "command": "npx",
  "args": ["-y", "advantech-gais-mcp@latest"],
  "env": {
    "GRAFANA_URL": "your-grafana-url",
    "GRAFANA_API_KEY": "your-grafana-api-key"
  }
}
```

## Usage

1. Set up the required environment variables:
```bash
export GRAFANA_URL="http://your-grafana-server:3000"
export GRAFANA_API_KEY="your-grafana-api-key"
```

2. The server exposes the following MCP tool:
- **Tool Name**: `GAISMCP.getSystemStatus`
- **Description**: Retrieves current system status and hardware resource usage
- **Returns**: JSON object containing:
  - CPU usage percentage
  - Memory usage percentage
  - Disk usage percentage
  - GPU metrics (if available)

## Prerequisites

- Node.js 16 or higher
- Running Grafana instance
- Prometheus data source configured in Grafana
- Node Exporter for system metrics
- DCGM Exporter (for NVIDIA GPU metrics, if needed)

## Environment Variables

| Variable | Description | Required | Default |
|----------|-------------|----------|---------|
| GRAFANA_URL | Your Grafana server URL | Yes | http://localhost:3000 |
| GRAFANA_API_KEY | Grafana API key with read permissions | Yes | - |

## License

ISC

## Author

Advantech GAIS Team