• LIVE STATUS
  • DETAILED RESULTS
  • ERROR DETECTION
  • HUMAN ACTION

How to monitor test run status with your AI

Connect Qase to your agent to pull live execution data. You can track progress and check specific results without leaving your IDE or chat window.

Ask AI about this page

Short answer

How can I check my test run status using AI?

Your agent uses the Qase MCP to pull the latest run lists and specific run details. You get immediate visibility into pass/fail counts and execution progress.

Testing visibility.

Real-time testing outcomes.

Stop switching between your code and the Qase dashboard.

LIVE STATUS

Track active runs

The AI pulls the most recent test runs. You see exactly what is running right now.

DETAILED RESULTS

Inspect specific runs

Get granular data on individual test runs. Your agent fetches the exact results you ask for.

ERROR DETECTION

Identify failures

The AI finds failed tests in the latest run. You get the specific failure details immediately.

HUMAN ACTION

Manual intervention

The AI only reads the data. You still decide which bugs to report or which tests to re-run.

The workflow

What your AI does when the status changes.

The AI acts as a bridge between your testing data and your conversation.

  1. Fetch run history

    The agent looks up the current list of test runs to find the ones you care about.

    list_runs

  2. Retrieve run details

    Once you identify a run, the agent pulls the full execution data for that specific ID.

    get_run

  3. Analyze results

    The AI parses the pass, fail, and skip counts from the retrieved data.

    get_run

  4. Report findings

    The agent presents the status and failure details in your chat window.

    get_run

Try it

Copy these to start.

Use these prompts to get moving immediately.

Starting points

Swap the bracketed text for your actual Qase run IDs or project names.

Qase Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_DmxFjwi8voxH7zM7sJq9mvaS2UF2jcPQlNrC5P0K/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 — Qase capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "qase-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DmxFjwi8voxH7zM7sJq9mvaS2UF2jcPQlNrC5P0K/mcp"
    }
  }
}
Copy into chat04

  • Show me the latest test runs from Qase.

  • What is the status of run ID 12345?

  • Check the results for the most recent regression test run.

  • Did the last test run pass or fail?

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

Start here

Connect Qase once, then ask.

Follow the link to authorize the connection. Your credentials stay encrypted, and you can start asking questions in your preferred MCP client right away.

Connect Qase to your AI

FAQ

How the Qase monitor behaves

  • 01

    Can the AI start a new test run?

    No. The current tools only allow the AI to list and get details for existing runs.

  • 02

    Can the AI fix failed tests for me?

    No. The AI can report why a test failed, but you must perform the actual code fixes.

  • 03

    Does the AI delete any test cases?

    No. The AI has no tools to delete or modify data in Qase.

  • 04

    How often does the status update?

    The status is as fresh as your last prompt. The AI fetches live data every time you ask for a run update.

  • 05

    Can I see results for a specific project?

    Yes, as long as you specify the project or run ID in your prompt.

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

Connect Qase to Claude, Cursor, ChatGPT & more