• CPU
  • MEMORY
  • CLUSTER
  • HUMAN

How to query system metrics with your AI

Connect Guance Cloud to your agent to pull real-time telemetry using natural language. You'll get precise performance data without writing manual queries.

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Short answer

How can I get system metrics using my AI?

Your agent uses the query_data tool to execute DQL statements against Guance Cloud. This pulls CPU, memory, and cluster-specific data straight to your chat. You'll see exactly how your infrastructure is performing through the following breakdown.

The data you'll get.

Direct access to telemetry.

The agent handles the query syntax so you can focus on the numbers.

CPU

Processor stats

The agent pulls usage percentages and load averages. You'll see exactly how much processing power your nodes are using.

MEMORY

RAM utilization

Get clear views of memory consumption and available capacity. This helps you spot leaks or exhaustion quickly.

CLUSTER

Node health

Query specific cluster metrics to check the status of your distributed systems. You'll get the health data for individual nodes.

HUMAN

Manual fixes

The AI only retrieves data. You still have to log in to Guance Cloud to change settings or restart services.

The workflow

What your AI does when you ask for data.

The agent acts as the bridge between your question and the Guance Cloud database.

  1. Interpret request

    Your agent looks at your question and determines which metrics and time ranges you need.

    query_data
  2. Build DQL

    The agent converts your request into a valid DQL statement for Guance Cloud.

    query_data
  3. Fetch data

    The agent executes the query to pull the raw telemetry from your environment.

    query_data
  4. Present results

    The agent cleans up the raw output and presents the metrics in a readable format.

    query_data

Try it

Copy these to start.

Paste these into your chat to test the connection.

Starting points

Replace the cluster names and metric types with your own specific identifiers.

Guance Cloud / 观测云 Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_AANzdKMqG2pZyVDyBezhkEvdo4gPXGC9YiQz8RcU/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 — Guance Cloud / 观测云 capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "guance-cloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_AANzdKMqG2pZyVDyBezhkEvdo4gPXGC9YiQz8RcU/mcp"
    }
  }
}
Copy into chat04
  • Show me the average CPU usage for the production-cluster over the last 15 minutes.

  • What is the memory usage for the node named worker-01?

  • Get the disk utilization metrics for my database cluster.

  • List the top 3 nodes with the highest CPU load right now.

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Start here

Connect Guance Cloud once, then ask.

Just follow the link to authorize the connection. Your credentials stay encrypted, and you can start querying immediately.

Connect Guance Cloud to your AI

FAQ

How the querying behaves

  • 01

    Can the AI change my cluster settings?

    No. The agent only has permission to read data. It cannot modify your infrastructure.

  • 02

    Can the AI delete my logs or metrics?

    No. The tool is strictly for querying data, not for deleting or altering it.

  • 03

    Do I need to write DQL myself?

    No. Your agent writes the DQL for you based on your plain English questions.

  • 04

    Can I query specific time ranges?

    Yes. You can ask for data from the last hour, the last day, or any other specific window.

  • 05

    What happens if the query fails?

    Your agent will report the error returned by Guance Cloud so you can refine your request.

  • More questions about Guance Cloud? See everything the Guance Cloud Connector can do

Connect Guance Cloud / 观测云 to Claude, Cursor, ChatGPT & more