How to Use the Katalon TestOps (AI Test Management) MCP in Mastra AI

Build conditional test workflows in Mastra AI to automatically handle flaky Katalon builds.

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Connect Katalon TestOps (AI Test Management) MCP to Mastra AI

Create your Vinkius account to connect Katalon TestOps (AI Test Management) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Katalon TestOps (AI Test Management) with Mastra AI

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Build Resilient Workflows in Mastra AI

Managing test retries relies on `rerun_test_run` to automatically bounce failed suites based on your workflow rules. Your Mastra AI agent evaluates the output of a failed build and triggers a new execution. The built-in workflow engine applies exponential backoff if the Katalon API takes time to spin up the environment. Flaky tests no longer require human intervention. You configure conditional branches that check specific error thresholds before attempting a retry. If the second attempt fails, the agent routes the workflow to an escalation path.

Parse Granular Test Failures

Pulling error messages via `get_test_result` and `list_test_results` feeds exact failure reasons into your automated evaluation pipeline. The agent reads the execution durations and status codes to determine if a failure was a timeout or an assertion error. This dictates the next step in your Mastra workflow. You stop guessing why a build went red. The MCP Server integration isolates the exact test case that failed within a massive run. Your AI client parses this data to generate targeted bug reports without a developer digging through logs.

Gate Releases with MCP Server Data

Fetching build statistics through `list_project_releases` and `list_project_builds` gives your workflow the numbers it needs to approve or block a deployment. The agent compares the scheduled release date against the aggregated test run statistics. If the pass rate drops below your required threshold, the workflow halts. This replaces manual spreadsheet tracking. Your Mastra setup polls `list_execution_environments` to verify testing occurred across all required platforms. The entire release validation process runs autonomously as a predefined step in your CI/CD pipeline.

Setup guide

Set up Katalon TestOps (AI Test Management) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Katalon TestOps (AI Test Management) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "katalon-testops-ai-test-management-mcp-client",
  servers: {
    "katalon-testops-ai-test-management-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Katalon TestOps (AI Test Management) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Katalon TestOps (AI Test Management) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Katalon TestOps (AI Test Management) transactions"
);
console.log(result.text);

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Common questions about Katalon TestOps (AI Test Management) MCP in Mastra AI

Initialize an MCPClient with your connection URL and call listTools. Spread those tools into your Mastra agent configuration to enable test execution capabilities.

Yes. You can set a workflow branch that evaluates the output of list_test_runs. If it detects a failure, it triggers rerun_test_run automatically.

Mastra AI applies automatic retries and exponential backoff at the framework level. If the MCP Server encounters a rate limit when fetching test results, the workflow pauses and tries again.

You can use the requireToolApproval setting in your Mastra configuration. The workflow will pause and wait for manual sign-off before executing the rerun tool.

The MCP Server processes your test assertion errors, build IDs, and run durations. Vinkius routes this traffic through a zero-trust architecture, discarding all authentication tokens the moment your workflow execution completes.

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