• REAL-TIME
  • INSTANT
  • ACTIONABLE
  • HUMAN

How to monitor cloud resource metrics with your AI

Connect your JD Cloud infrastructure to your AI agent. Once connected, you can query live performance data for any specific instance.

Ask AI about this page

Short answer

How do I check JD Cloud metrics using AI?

You ask your AI agent for specific performance data, and it pulls the live stats directly from your JD Cloud instances. You'll get immediate visibility into CPU, disk, and network usage. Here is how the data flows.

The results

What your AI delivers

The agent handles the heavy lifting of data retrieval so you can focus on the analysis.

REAL-TIME

Live performance data

The AI pulls current CPU and network stats. You get the exact numbers running on your instances right now.

INSTANT

Instance identification

Your agent identifies specific virtual machines. It maps the metrics to the correct hardware automatically.

ACTIONABLE

Trend spotting

The AI looks at the metric history you request. You can quickly see if a disk is filling up or a CPU is spiking.

HUMAN

Manual intervention

The AI only reads the data. You still need to manually scale your instances or fix configuration errors in the JD Cloud console.

The workflow

What your AI does when you ask for metrics.

The agent acts as a bridge between your chat interface and the JD Cloud API.

  1. Locate the instance

    The agent finds the specific virtual machine you are asking about to ensure it pulls data from the right place.

    describe_vm_instance

  2. Fetch performance stats

    The agent requests the specific time-series data for the metrics you care about.

    describe_metric_data

  3. Analyze the numbers

    The agent processes the raw data points into a readable format for your conversation.

    describe_metric_data

  4. Report findings

    The agent presents the CPU, disk, or network usage in your chat window.

    describe_metric_data

Try it

Copy these to start.

Use these prompts once you have connected the JD Cloud Infrastructure MCP.

Starting points

Replace the instance IDs and metric names with your actual JD Cloud details.

JD Cloud Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_XVyDpjLKMV2jNPAcRKkik1f5ahKvTUfXc2RxgNF0/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — JD Cloud capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "jd-cloud-infrastructure-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XVyDpjLKMV2jNPAcRKkik1f5ahKvTUfXc2RxgNF0/mcp"
    }
  }
}
Copy into chat04

  • What is the current CPU usage for instance i-123456789?

  • Show me the network bandwidth metrics for my web-server-prod instance.

  • Check the disk utilization for all my active JD Cloud VMs.

  • Are there any recent spikes in CPU usage for my database instance?

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect JD Cloud Infrastructure once, then ask.

Click the link to connect your credentials. Your login info stays encrypted and secure, and you can immediately start querying your cloud data.

Connect JD Cloud Infrastructure to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my instance settings?

    No. The tools only allow the AI to read instance details and metric data. It cannot modify, delete, or create any cloud resources.

  • 02

    Can I use this to restart a frozen VM?

    No. This MCP is for monitoring and observation. It does not have the capability to execute commands or reboot instances.

  • 03

    How often is the metric data updated?

    The data is as fresh as the JD Cloud API provides. The AI pulls the most recent available data points when you ask.

  • 04

    Do I need to provide my JD Cloud password?

    No. You connect via Vinkius, which manages the connection securely. Your agent uses the established link to fetch data.

  • 05

    Can the AI see all my cloud resources?

    The AI can see any instance or metric that your provided credentials have permission to access in JD Cloud.

  • More questions about JD Cloud Infrastructure? The Connector page answers them. See everything the JD Cloud Infrastructure Connector can do

Connect JD Cloud to Claude, Cursor, ChatGPT & more