How to Use the Katalon TestOps (AI Test Management) MCP in OpenAI Agents SDK

Q: How do I connect Katalon TestOps (AI Test Management) to the OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp instance with your MCP server URL and pass it to the Agent constructor in the mcpservers array.

Q: How do I list all my projects in Katalon TestOps (AI Test Management) via the OpenAI Agents SDK?

The agent calls listprojects to return project names, IDs, and descriptions. Set cacheToolsList=True in your setup so the SDK discovers this tool instantly.

Wire up Katalon TestOps to the OpenAI Agents SDK and let your agent manage your test orchestration automatically.

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Connect Katalon TestOps (AI Test Management) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Katalon TestOps (AI Test Management) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Track test outcomes via MCP Server

`list_test_results` and `get_test_result` pull test data instantly. Your agent reads durations, statuses, and specific error messages directly from Katalon TestOps. You don't have to manually dig through dashboards to figure out why a build failed. The OpenAI Agents SDK auto-discovers these MCP tools on startup. That means your agent checks the pipeline status, reads the exact stack trace, and logs the findings without you writing custom API wrappers.

Handle flaky tests automatically

`rerun_test_run` triggers a fresh execution of any existing test run. Your agent spots a transient failure, fires this command, and gets the newly created test run ID back immediately. You configure the built-in guardrails to limit how many retries happen. If a test fails three times, the agent stops polling `list_test_runs` and hands the issue off to a specialized triage agent for human review.

Audit software releases

`list_project_releases` and `list_project_builds` give your agent the context it needs to audit scheduled deployments. It maps release names to aggregated test run statistics. You get a clear picture of what passed and what failed before anything ships. The agent pulls project details with `get_project` and cross-references execution environments via `list_execution_environments`, so you know exactly which configurations were tested.

Setup guide

Set up Katalon TestOps (AI Test Management) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Katalon TestOps (AI Test Management) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Katalon TestOps (AI Test Management) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Katalon TestOps (AI Test Management) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Katalon TestOps (AI Test Management) Agent",
            instructions="You have access to Katalon TestOps (AI Test Management) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Katalon TestOps (AI Test Management) MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance with your MCP server URL and pass it to the Agent constructor in the `mcp_servers` array.

It reads build metadata, checks execution environments, and reruns failed tests. It spots pipeline bottlenecks and reports back with specific error messages from failed runs.

Yes. The SDK lets you enforce strict guardrails on tool execution. You set limits on how often the agent invokes the rerun tool.

The agent calls `list_projects` to return project names, IDs, and descriptions. Set `cacheToolsList=True` in your setup so the SDK discovers this tool instantly.

Vinkius handles the authorization layer using a V8 Isolate Sandbox. Your agent only accesses the specific test execution results and build metadata exposed by the tools, and the connection drops the moment the session ends.

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