Can I check the specific steps of a test case through the agent?

Yes. The `get_test_details` tool allows your AI agent to retrieve the full technical metadata for any test key, including the defined test steps, preconditions, and any linked requirement issues.

How do I find out which tests failed in a recent execution?

You can use the `get_execution_details` tool. Provide the unique execution key, and your agent will return a granular breakdown of the results, highlighting tests that failed or were aborted.

Is it possible to see the progress of a test plan via chat?

Absolutely. Using the `get_test_plan_details` tool, your agent can retrieve the scope and real-time progress metrics for any plan ID, helping you monitor overall QA coverage for a release.

Xray (Test Management) MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Name: Xray (Test Management)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Xray (Test Management) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Xray (Test Management) Assistant",
            instructions=(
                "You help users interact with Xray (Test Management). "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Xray (Test Management)"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Xray (Test Management) MCP Server

Connect your Xray Test Management account to any AI agent and manage your quality assurance workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 9 tools from Xray (Test Management) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Xray (Test Management), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Test Case Discovery — List and browse all test cases within your project and retrieve unique test keys (e.g., TST-1) for deep inspection
Execution Monitoring — List and track test execution records to monitor real-time QA results and overall release readiness
Granular Results — Retrieve detailed results for specific executions to see which steps passed, failed, or encountered errors
Test Planning — Browse high-level test plans and retrieve scope details to understand your testing strategy and progress
Logical Grouping — List test sets to see how individual test cases are organized into functional or regression groups
Historical Auditing — Retrieve the complete run history for a single test across multiple execution cycles to identify flaky tests
Project Config — Verify environment settings and status mappings to ensure your agent is aligned with your project's workflow

The Xray (Test Management) MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Xray (Test Management) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Xray (Test Management) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 9 tools from Xray (Test Management)

Why Use OpenAI Agents SDK with the Xray (Test Management) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Xray (Test Management) through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Xray (Test Management) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Xray (Test Management) MCP Server delivers measurable value.

Automated workflows: build agents that query Xray (Test Management), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Xray (Test Management), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Xray (Test Management) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Xray (Test Management) to resolve tickets, look up records, and update statuses without human intervention

Xray (Test Management) MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect Xray (Test Management) to OpenAI Agents SDK via MCP:

get_execution_details

Retrieves granular results for a specific test execution

get_individual_test_runs

Retrieves individual test run instances for a specific test

get_test_details

Retrieves comprehensive details for a specific Xray test case

get_test_plan_details

Retrieves details for a specific test plan

get_xray_settings

Retrieves Xray project configuration and field mappings

list_test_executions

Lists all test execution records

list_test_plans

Lists all test plans configured in Xray

list_test_sets

Lists all test sets (groups of tests)

list_xray_tests

g. TST-1). Lists all test cases in the Xray project

Example Prompts for Xray (Test Management) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Xray (Test Management) immediately.

"List all test cases in the 'Mobile-App' project."

"What were the results for execution 'EXEC-555'?"

"Show me the test plan progress for 'v2.4 Release'."

Troubleshooting Xray (Test Management) MCP Server with OpenAI Agents SDK

Common issues when connecting Xray (Test Management) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Xray (Test Management) + OpenAI Agents SDK FAQ

Common questions about integrating Xray (Test Management) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.