• TIMELINE
  • CORRELATION
  • REPORT
  • HUMAN

How to troubleshoot latency spikes with your AI

Connect Dotcom-Monitor to your agent to turn raw monitoring logs into a clear timeline of performance issues.

Ask AI about this page

Short answer

How do I find the cause of latency spikes using AI?

Your agent uses Dotcom-Monitor to pull historical device metrics and compare them against the exact moment response times spiked. This identifies the specific time window and hardware behavior behind the lag. You get a clear breakdown of the degradation pattern.

The results.

Where the data lands.

The AI processes monitoring logs to give you these specific outcomes.

TIMELINE

Identified spike windows

The AI uses get_device_monitoring_history to find the exact timestamp when latency deviated from the baseline. You get a specific start and end time for the issue.

CORRELATION

Hardware vs Latency

The agent compares response times against device health metrics. This shows if a spike was caused by resource exhaustion or network congestion.

REPORT

Summary of degradation

The AI summarizes the performance trend into a readable format. You get a clear explanation of how the latency evolved over the monitored period.

HUMAN

Manual intervention

The AI identifies the problem but does not change any device settings. You decide which configuration changes or hardware swaps to perform.

The workflow

What your AI does when the latency spike arrives.

Instead of you digging through dashboards, your agent does the heavy lifting by querying historical logs.

  1. Fetch history

    The agent requests the specific performance logs for the affected device over the requested timeframe.

    get_device_monitoring_history

  2. Detect anomalies

    The AI scans the returned data to find where response times jumped above the normal threshold.

    get_device_monitoring_history

  3. Isolate variables

    The agent looks for patterns in the device metrics that align with the latency spikes.

    get_device_monitoring_history

  4. Draft findings

    The AI prepares a summary of the findings, highlighting the correlation between device state and latency.

    get_device_monitoring_history

Try it

Copy these to start.

Use these prompts to begin your investigation.

Starting points

Swap the device names and time ranges with your actual monitoring data.

Dotcom-Monitor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_GqGj3Rlz734elQvwGWsaDwAQaGs3sdeIJxtIggc7/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 — Dotcom-Monitor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dotcom-monitor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_GqGj3Rlz734elQvwGWsaDwAQaGs3sdeIJxtIggc7/mcp"
    }
  }
}
Copy into chat04

  • Pull the monitoring history for the Edge-Router-01 from the last 4 hours and tell me when latency spiked.

  • Compare the response times for the Core-Switch-A with its CPU usage over the last 24 hours.

  • Look at the device history for the London-Gateway and find any correlation between packet loss and latency increases.

  • Summarize the performance degradation for the primary load balancer during the window between 2 PM and 4 PM.

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

Start here

Connect Dotcom-Monitor once, then ask.

Just enter your credentials once. Your connection is secure, and you can immediately start asking your agent about your device performance.

Connect Dotcom-Monitor to your AI

FAQ

How this task behaves.

  • 01

    Can the AI fix the latency issue for me?

    No. The AI only reads historical monitoring data to identify the cause. You must perform the actual troubleshooting and repairs yourself.

  • 02

    Can the AI change my device configurations?

    No. This MCP only has permission to read monitoring history. It cannot push updates or change settings on your hardware.

  • 03

    How far back can the AI look for data?

    The AI can look back as far as your Dotcom-Monitor account holds historical device monitoring history.

  • 04

    Does the AI see my login credentials?

    No. Your credentials are encrypted and managed by Vinkius. Your AI client only uses the connection to pull data.

  • 05

    Can I use this with any AI client?

    Yes, you can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • More questions about Dotcom-Monitor? The Connector page answers them. See everything the Dotcom-Monitor Connector can do

Connect Dotcom-Monitor to Claude, Cursor, ChatGPT & more