Katalon TestOps MCP. Automate Quality Checks with Conversation.
Katalon TestOps (AI Test Management) lets you manage your entire quality pipeline using natural conversation. Connect your existing Katalon TestOps account to any AI client, and your agent handles everything from listing test runs to auditing complex software releases, letting you get immediate visibility into build health without clicking through dashboards.
Give Claude and any AI agent real-world access
Tell the agent which tests failed and have it automatically trigger a re-run of that specific suite.
Get an overview of defined software releases, tracking aggregated test run statistics to verify build quality before deployment.
Retrieve detailed pass/fail rates, execution durations, and even extract application logs or visual screenshots from individual tests.
List all projects within your Katalon account to understand team assignments and suite counts across multiple repositories.
Review defined software builds, seeing their unique identifiers and how many associated test runs they contain.
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What AI agents can do with Katalon TestOps (AI Test Management) with 10 Tools
These tools let your AI agent interact with every part of your Katalon TestOps account, from listing projects to re-running specific failed test suites.
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Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Katalon TestOps (AI Test Management) MCPList Projects
Retrieves a list of all configured projects, including their names, IDs, and descriptions on Katalon TestOps.
Get Project
Fetches full details about a specific Katalon project by its ID or name.
List Test Runs
Lists all test runs for a given project, showing their IDs, pass/fail status, total...
Get Test Run
Retrieves the complete details for one specific Katalon test run.
Rerun Test Run
Initiates a fresh execution of an existing test run, returning the ID of the new...
List Test Results
Lists detailed results for a specific test run, showing statuses and error messages.
Get Test Result
Gets comprehensive information about a single recorded test result instance.
List Execution Environments
Lists all configured operating system, browser, and device environments available...
List Project Releases
Returns information about defined software releases, including their scheduled dates...
List Project Builds
Lists all associated software builds within a project, providing identifiers and the...
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The quality assurance workflow used to involve too much clicking.
Today, when a test fails, your process involves navigating deep into the Katalon TestOps dashboard. You check `list_test_runs` for the failure ID, then click into that run to see individual results, and finally copy-paste error stack traces or screenshots into a ticketing system. This cycle of clicking through tabs just to get one piece of information is exhausting.
With this MCP, you simply ask your agent: 'What happened in test run 986?' Your agent handles the entire journey—it pulls the detailed results, extracts the error messages, and presents them all back to you. You don't click a thing; you just talk.
get_test_result: Instant diagnosis for every failure.
Before this MCP, getting the full context of a single failed test meant checking dozens of fields—the duration, the status, the specific error message, and sometimes even needing to find a related application log. It was detective work, wasting critical time.
Now, when your agent uses get_test_result, you get all that information condensed into one actionable block of text. You know exactly what went wrong, why it failed, and where the error originated—all without leaving your chat window.
What Katalon TestOps MCP does for your AI
You can treat your quality assurance process like a conversation with an expert teammate. This MCP connects directly to your Katalon TestOps account, giving your AI client full control over test management and quality orchestration. Instead of jumping between tabs or writing complex scripts, you just talk to your agent.
It handles listing all available projects so you know exactly what's being tested, and it lets your agent trigger immediate re-executions of specific suites when a fix is ready for verification. Need deep details? Your agent pulls detailed test outcome summaries, including pass/fail rates and error stack traces. You can even audit the entire deployment process by listing configured execution environments or tracking defined software releases.
If you're used to finding these connections piecemeal, Vinkius makes it simple: connect once from any MCP-compatible client and gain access to all your critical test data in one place.
019d75bf-bd01-718b-ab20-7a3822d41c2f How to set up Katalon TestOps MCP
The bottom line is you get full visibility into your test suite's health by simply talking to your AI client instead of navigating complex web dashboards.
Subscribe to this MCP and provide your Katalon Email and API Key credentials.
Connect the MCP to your preferred AI client (like Claude or Cursor).
Ask your agent questions like, 'What are the latest 5 test runs for project X?' and receive instant, structured data.
Who uses Katalon TestOps MCP
This MCP is for QA Managers who need a single source of truth on release readiness, or Automation Engineers tired of manually checking logs across different builds. If you spend time jumping between build pipelines and test reports, this is for you.
Monitoring the overall health of a software release; they use this to track team testing progress and check if all necessary quality gates are met before launch.
Debugging failures by running specific failing test suites immediately, then inspecting diagnostic logs directly from their workspace for rapid iteration.
Auditing execution environments and verifying build quality results to ensure the entire CI/CD pipeline maintains its integrity across different operating systems and browsers.
Benefits of connecting Katalon TestOps MCP
You save time by getting immediate status updates. Instead of manually checking the dashboard, you can ask your agent to list test runs and instantly see which ones passed or failed.
Debugging gets faster. If a run fails, your agent doesn't just give you 'Fail.' It pulls detailed test results so you get error messages and stack traces right away.
You maintain full visibility over deployments. You can check the status of defined software releases using list_project_releases to ensure the build is ready before going live.
Never forget which environment a bug appeared in. By listing execution environments, you can confirm if the issue only happens on Safari or only on Windows 10.
Rerunning tests becomes instant. Instead of clicking through menus to re-trigger a failed test, your agent handles it using rerun_test_run and gives you the new session ID.
Katalon TestOps MCP use cases
Investigating an intermittent failure
A QA Engineer notices a bug only appears on specific devices. They ask their agent to list execution environments, confirming if the issue is confined to Android 12 or if it's widespread across multiple target OS settings.
Checking release readiness quickly
A QA Manager needs a quick sign-off. They prompt their agent to list project releases, instantly seeing that the 'Q3 Beta' build has 95% pass rates but also flagging two specific critical tests that failed.
Auditing CI/CD pipeline integrity
A DevOps Engineer wants to verify if a recent deployment impacted stable builds. They use list_project_builds to see the last ten builds and then ask the agent to get details on the most recent one, checking its associated test runs.
Verifying a hotfix
The development team pushes an urgent fix. The engineer uses list_test_runs to identify the failing run ID and then tells the agent to rerun_test_run, immediately getting a new session ID for monitoring.
Katalon TestOps MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Treating it like basic status reporting
Manually running a query to simply check if a project exists or what the overall pass rate is. This requires simple data retrieval, not complex orchestration.
If you only need to know which projects are available, use list_projects. If you need deeper analysis (like re-running tests or auditing releases), this MCP is necessary.
Attempting manual environment tracking
Trying to remember if a bug was seen on Chrome/MacBook Pro vs Edge/Windows because documentation spread across multiple sheets.
Use list_execution_environments. This tool centralizes all target OS, browser, and device information in one place for easy comparison.
Forgetting to track release scope
Deploying a fix without knowing which official software release it belongs to, creating deployment confusion.
Always use list_project_releases first. This tool tracks defined releases and links them to aggregated test run statistics, keeping your quality reports accurate.
When to use Katalon TestOps MCP
Use this MCP if your primary pain point is coordinating complex, multi-stage testing processes—specifically, when you need visibility into build history, release tracking, and the ability to re-trigger tests based on live feedback. You should use it whenever a developer or QA needs to confirm that a fix works across multiple environments (like using list_execution_environments) or verify if a deployment is officially tied to a specific version (using list_project_releases). Don't use this MCP if you simply need to store test data; for raw data storage and basic reporting, a dedicated database connection might be simpler. Also, if your goal is just to pull metadata about projects without any testing capability, the list_projects tool handles that perfectly, but you won't get the full orchestration power.
Frequently asked questions about Katalon TestOps MCP
How do I find out what projects are available using Katalon TestOps (AI Test Management) MCP? +
You use list_projects. This tool immediately retrieves a complete list of all projects associated with your account, giving you the names and IDs needed to focus your queries.
Can I force a test run to re-execute after a fix? +
Yes, use rerun_test_run. This tool takes an existing run ID and kicks off a brand new execution, providing you with the ID for the fresh session so you can monitor it.
What is the difference between list_project_builds and list_project_releases? +
list_project_builds shows granular software versions (the 'how' of the build), while list_project_releases tracks major, defined product releases that contain multiple builds. Use both to get a full view.
Does Katalon TestOps (AI Test Management) MCP show me which browsers were used? +
Yes. You can use list_execution_environments to see all configured testing environments, including the specific OS, browser types, and device distributions you've covered.
How do I check if a build passed quality checks? +
You first use list_project_releases to find the target release. Then, your agent can pull aggregated stats from that release, showing overall pass/fail rates and associated test runs.