How to Use the Xray (Test Management) MCP in CrewAI

Q: What is the process for listing available test plans using CrewAI with Xray (Test Management)?

An initial research agent runs listtestplans. This list populates the shared memory, allowing subsequent agents to plan their work around the known scope of testing.

Q: Can the CrewAI framework check multiple groups of tests in Xray (Test Management) at once?

Yes. By combining listtestsets with a dedicated analysis agent, you can process multiple test sets concurrently. The system treats each set as a discrete, manageable task within the overall workflow.

Deploy autonomous QA teams using CrewAI to manage Xray (Test Management) across multiple specialized agents.

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Connect Xray (Test Management) MCP to CrewAI

Create your Vinkius account to connect Xray (Test Management) to CrewAI 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 Xray (Test Management) with CrewAI

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Researching Test Cases with Specialized Agents

Agent A researches the project scope using `get_test_details`. It pulls all necessary context for a single test case. The shared memory then provides Agent B with this full data set, allowing it to analyze potential failure points against known bug patterns. This specialized division of labor means complex tasks are broken down and analyzed by different virtual roles.

Building Knowledge Bases for Tests

Before starting any operation, an agent runs `list_xray_tests` to build the initial knowledge base. The shared memory holds this full list of every test case in Xray (Test Management), ensuring all subsequent agents start from the same accurate data point. It's like having a central repository that all specialized workers can reference instantly.

Verifying Project Configuration

A monitor agent checks project configuration using `get_xray_settings`. It verifies field mappings and ensures that other agents are working with standardized data definitions across the board. This prevents data mismatch errors before they happen. If the settings don't match expected parameters, the moderator agent flags it immediately.

Setup guide

Set up Xray (Test Management) MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Xray (Test Management) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Xray (Test Management) Analyst",
    goal="Access and analyze Xray (Test Management) data via MCP.",
    backstory="Expert analyst with direct Xray (Test Management) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Xray (Test Management) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Xray (Test Management) Analyst",
        goal="Access and analyze Xray (Test Management) data via MCP.",
        backstory="Expert analyst with direct Xray (Test Management) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Xray (Test Management) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Xray (Test Management). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Xray (Test Management) MCP in CrewAI

It uses a hierarchical execution model. A primary task defines the sequence, and specialized agents handle steps in order, passing results to the next agent for analysis or action.

An initial research agent runs `list_test_plans`. This list populates the shared memory, allowing subsequent agents to plan their work around the known scope of testing.

Yes. By combining `list_test_sets` with a dedicated analysis agent, you can process multiple test sets concurrently. The system treats each set as a discrete, manageable task within the overall workflow.

It gets detailed field mappings and global settings. This allows your autonomous operation to validate that the test data structure is correct before attempting any write or read operations.

This server touches Test Case Details, Project Settings, and Test Plans. These are the necessary records for autonomous agents to understand project scope and structure.

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