• METRICS
  • VALIDATION
  • ANALYSIS
  • HUMAN

How to analyze load test performance with your AI

Connect your k6 Cloud account to your AI client to turn raw test data into actionable performance insights.

Ask AI about this page

Short answer

How can I use AI to analyze my k6 load tests?

Your AI pulls latency, error rates, and throughput directly from your completed k6 Cloud runs. It then compares these results against your defined thresholds to tell you exactly where your system struggled. You get a clear picture of stability without manual data exporting.

The results you get.

Performance insights at a glance.

The AI processes your test data to surface these specific outcomes.

METRICS

Raw data extraction

The AI pulls latency, error counts, and throughput from your k6 runs. You get the exact numbers needed to judge performance.

VALIDATION

Threshold checking

It checks your results against your pre-set pass/fail criteria. You'll know immediately if a run failed your requirements.

ANALYSIS

Behavioral patterns

The AI looks for trends in the metrics to explain why latency spiked or errors increased. It connects the dots between load and system response.

HUMAN

Decision making

The AI provides the data and the summary, but you decide if the system is ready for production. You interpret the final risk.

The workflow

What your AI does when the data arrives.

The AI acts as a bridge between your k6 Cloud history and your chat interface.

  1. Fetch run data

    The AI reaches into your k6 Cloud account to grab the specific metrics from a finished test.

    get_run_metrics

  2. Verify thresholds

    It pulls the success criteria you set for that specific test run to see if you hit your targets.

    get_run_thresholds

  3. Compare results

    The AI compares the actual latency and error metrics against those thresholds to identify failures.

    get_run_metricsget_run_thresholds

  4. Summarize behavior

    It translates the numbers into a plain English explanation of how the system behaved under load.

    get_run_metrics

Try it

Copy these to start.

Use these prompts to begin your analysis.

Starting points

Replace the run IDs and metric names with your actual k6 data.

Grafana k6 Cloud Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_puXmxTGW8nXFX6Ap8jEn9n2TkxtxCWKVzu5Is9v7/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 — Grafana k6 Cloud capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "grafana-k6-cloud-load-testing-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_puXmxTGW8nXFX6Ap8jEn9n2TkxtxCWKVzu5Is9v7/mcp"
    }
  }
}
Copy into chat04

  • Get the latency and error metrics for k6 run ID 12345.

  • Did run ID 67890 pass all of its defined thresholds?

  • Compare the throughput from my last three k6 runs to see if performance is degrading.

  • Analyze the error rates for run ID 55443 and tell me if they correlate with latency spikes.

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

Start here

Connect Grafana k6 Cloud once, then ask.

One connection gives your AI access to your test history. Your credentials stay encrypted and secure on our side.

Connect Grafana k6 Cloud to your AI

FAQ

How this task behaves.

  • 01

    Can the AI start a new k6 load test?

    No. This MCP only reads data from completed runs; it cannot trigger or manage active tests.

  • 02

    Can the AI change my threshold settings in k6 Cloud?

    No. The AI can only read the thresholds you have already set to check if a run passed or failed.

  • 03

    Do I need to export CSV files for the AI to read them?

    No. The AI pulls the metrics directly from your k6 Cloud account using the connector.

  • 04

    Can the AI fix the code in my test scripts?

    No. The AI analyzes the results of the tests, but it does not have access to edit your source code or test scripts.

  • 05

    How does the AI know if a test passed?

    It uses the get_run_thresholds tool to see your requirements and compares them to the metrics from the run.

  • More questions about Grafana k6 Cloud? The Connector page answers them. See everything the Grafana k6 Cloud Connector can do

Connect Grafana k6 Cloud to Claude, Cursor, ChatGPT & more