- DIAGNOSTICS
- CAPACITY
- POWER
- HUMAN
Short answer
How can I use AI to monitor my server performance?
Your AI client uses Gridscale tools to pull live hardware stats and power status directly into your chat. You get immediate visibility into resource bottlenecks and hardware health. Here is how it works.
The outcomes.
Where your data lands.
The AI processes raw hardware signals into clear insights.
DIAGNOSTICS
Hardware health reports
The AI pulls real-time metrics to identify failing components or overheating issues. You get a clear picture of what's happening under the hood.
CAPACITY
Resource bottleneck detection
Your agent compares current usage against available capacity. It flags when CPU or memory usage hits critical levels.
POWER
Status and availability
The AI checks if machines are powered on or if they've gone offline. This helps you track uptime and power consumption patterns.
HUMAN
Manual intervention
The AI identifies the problem but won't reboot or change settings. You decide when to take corrective action on the hardware.
The workflow
What your AI does when the data arrives.
The AI acts as a bridge between your chat interface and the Gridscale API.
Inventory check
The AI first identifies which machines are currently active in your environment.
list_serversMetric retrieval
It pulls specific hardware performance data for the selected machines.
get_server_metricsPower verification
The agent checks the current electrical state of the hardware to confirm it's running.
get_server_powerAnalysis
The AI compares the gathered metrics to find spikes or unusual patterns.
get_server_metrics
Try it
Copy these to start.
Use these prompts to kick off your monitoring tasks.
Starting points
These are basic openers. Swap out the server names for your actual Gridscale IDs.
Gridscale Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_WionY60yQsjgHzTZj8H9U0asZQd1c7pgU3MJvADr/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Gridscale capabilities are ready to use.
{
"mcpServers": {
"gridscale-iaas-paas-cloud-hosting-api-mcp": {
"url": "https://edge.vinkius.com/vk_preview_WionY60yQsjgHzTZj8H9U0asZQd1c7pgU3MJvADr/mcp"
}
}
}List all my active servers so I can see what's running.
Check the CPU and memory metrics for server-01 and server-02.
Is server-alpha currently powered on?
Are there any resource bottlenecks in my current server list?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Gridscale once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking your AI about your hardware.
Connect Gridscale to your AIFAQ
How this task behaves.
- 01
Can the AI reboot my servers?
No. The tools only allow the AI to read metrics and power status. It cannot execute commands or change server states.
- 02
Can the AI delete my instances?
No. There are no tools provided to delete or modify your cloud infrastructure.
- 03
How often does the AI get new data?
The AI pulls fresh data from Gridscale every time you ask a question using the provided tools.
- 04
Can I see a history of all past metrics?
No. The AI only sees the real-time data returned by the current tool calls.
- 05
Does the AI handle my Gridscale login?
No. You connect via Vinkius, which manages the connection securely so you don't have to share credentials with the AI client.
More questions about Gridscale? The Connector page answers them. See everything the Gridscale Connector can do
Connect Gridscale to Claude, Cursor, ChatGPT & more
