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 CrewAI 9 tools — connect in under 2 minutes

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

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to Xray (Test Management) through Vinkius, pass the Edge URL in the `mcps` parameter and every Xray (Test Management) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Xray (Test Management) Specialist",
    goal="Help users interact with Xray (Test Management) effectively",
    backstory=(
        "You are an expert at leveraging Xray (Test Management) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Xray (Test Management) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

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

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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.

When paired with CrewAI, Xray (Test Management) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Xray (Test Management) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from Xray (Test Management)

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Xray (Test Management) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Xray (Test Management) + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Xray (Test Management) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Xray (Test Management), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Xray (Test Management) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Xray (Test Management) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

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

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Xray (Test Management) + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.