- STABILITY
- TRENDS
- AUDIT
- HUMAN
Short answer
Can my AI tell me if a release is ready?
Yes. Your agent pulls specific build and release data to calculate pass/fail rates and overall health. You get a clear picture of deployment stability through these specific insights.
Deployment outcomes.
Where your data lands.
The AI processes your test data into these specific insights.
STABILITY
Release health check
The agent aggregates pass and fail counts across your latest builds. You see exactly how stable the current version is.
TRENDS
Build history analysis
Your AI compares recent builds to identify if quality is improving or dropping. This helps spot regressions before they hit production.
AUDIT
Detailed run inspection
If a specific build looks shaky, your agent pulls the exact test run details. You get the granular data needed to find the root cause.
HUMAN
Final go/no-go decision
The AI provides the data, but you make the call. You use the summarized stats to decide if the software is ready for deployment.
The workflow
What your AI does when the data arrives.
Your agent acts as a bridge between your test management and your decision making.
Identify the release
The agent looks up the specific release versions you are targeting for deployment.
list_project_releasesGather build data
It pulls the individual builds associated with those releases to see the recent activity.
list_project_buildsAnalyze test results
The agent digs into the specific test run results to calculate pass/fail percentages.
get_test_runSummarize stability
The AI combines all these data points into a single health report for your review.
get_test_run
Try it
Copy these to start.
Use these prompts to begin your analysis.
Starting points
Swap out the project names and release IDs for your actual data.
Katalon TestOps Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ovZCFfCK6Kz1sdVzEWtQhoPAzq5RaP9rqfTzVwdi/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Katalon TestOps capabilities are ready to use.
{
"mcpServers": {
"katalon-testops-ai-test-management-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ovZCFfCK6Kz1sdVzEWtQhoPAzq5RaP9rqfTzVwdi/mcp"
}
}
}What is the pass/fail status for the 'Mobile-App-v2' release?
Compare the health of the last three builds in the 'Web-Portal' project.
Check the results for the most recent test run in the 'API-Service' project.
Is the 'Payment-Gateway' release stable enough to deploy based on recent build stats?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Katalon TestOps once, then ask.
Just link your account via the Vinkius dashboard. Your credentials stay encrypted, and you can immediately start querying your test data.
Connect Katalon TestOps to your AIFAQ
How this task behaves.
- 01
Can the AI trigger a new test run?
No. The AI can only read and analyze existing test data from your project.
- 02
Can the AI change my test results?
No. The AI has read-only access to your test runs and builds.
- 03
Does the AI know which builds belong to which release?
Yes, it uses the project release data to group and analyze the correct builds.
- 04
Can I ask for a summary of a specific test run?
Yes, once the agent has access to the test run data, it can summarize the results for you.
- 05
Will the AI automatically deploy my code?
No. The AI provides the stability data, but the actual deployment is a manual action you take.
More questions about Katalon TestOps? The Connector page answers them. See everything the Katalon TestOps Connector can do
Connect Katalon TestOps to Claude, Cursor, ChatGPT & more
