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 LangChain 9 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Xray (Test Management) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "xray-test-management": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Xray (Test Management), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Xray (Test Management) through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Xray (Test Management) MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Xray (Test Management) via MCP

Why Use LangChain with the Xray (Test Management) MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Xray (Test Management) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Xray (Test Management) queries for multi-turn workflows

Xray (Test Management) + LangChain Use Cases

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

RAG with live data: combine Xray (Test Management) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Xray (Test Management), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Xray (Test Management) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Xray (Test Management) tool call, measure latency, and optimize your agent's performance

Xray (Test Management) MCP Tools for LangChain (9)

These 9 tools become available when you connect Xray (Test Management) to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Xray (Test Management) + LangChain FAQ

Common questions about integrating Xray (Test Management) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.