Can I rerun a failed test suite using my agent?

Yes. Use the `rerun_test_run` tool by providing the ID of the failed execution. Your agent will trigger a fresh run using the exact same configuration and return the new Test Run ID for tracking.

How do I see the screenshots from a specific test failure?

Ask your agent to `get_test_result` for a specific result ID. If the test was configured to capture visuals, your agent will retrieve the screenshot links along with diagnostic logs and error messages.

Can I check which browser versions were used in a test run?

Absolutely. Use the `list_execution_environments` tool for your project. Your agent will return detailed OS, browser, and device configurations used for executions, ensuring you have the full technical context.

Katalon TestOps (AI Test Management) MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Katalon TestOps (AI Test Management)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Katalon TestOps (AI Test Management) Specialist",
    goal="Help users interact with Katalon TestOps (AI Test Management) effectively",
    backstory=(
        "You are an expert at leveraging Katalon TestOps (AI 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 Katalon TestOps (AI Test Management) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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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 Katalon TestOps (AI Test Management) MCP Server

Connect your Katalon TestOps account to any AI agent and take full control of your AI-powered test management and quality orchestration through natural conversation.

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

What you can do

Execution Orchestration — List all test runs and trigger immediate re-executions of specific suites to verify bug fixes directly from your agent
Quality Analytics — Retrieve detailed test outcome summaries, including pass/fail rates, execution durations, and error stack traces
Diagnostic Inspection — Deep-dive into individual test results to extract application logs, error messages, and visual screenshots for rapid debugging
Environment Audit — List configured execution environments to understand target OS, browser, and device distributions across your projects
Release Management — Monitor defined software releases and track aggregated test run statistics to ensure build quality before deployment
Project CRM — Navigate across multiple Katalon projects and retrieve detailed metadata including team assignments and suite counts securely

The Katalon TestOps (AI Test Management) MCP Server exposes 10 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 Katalon TestOps (AI Test Management) to CrewAI via MCP

Follow these steps to integrate the Katalon TestOps (AI 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 10 tools from Katalon TestOps (AI Test Management)

Why Use CrewAI with the Katalon TestOps (AI Test Management) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Katalon TestOps (AI 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 the 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

Katalon TestOps (AI Test Management) + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Katalon TestOps (AI 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 Katalon TestOps (AI Test Management), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Katalon TestOps (AI 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 Katalon TestOps (AI Test Management) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Katalon TestOps (AI Test Management) MCP Tools for CrewAI (10)

These 10 tools become available when you connect Katalon TestOps (AI Test Management) to CrewAI via MCP:

get_project

Get full details of a Katalon project

get_test_result

Get full details of a single Katalon test result

get_test_run

Get full details of a Katalon test run

list_execution_environments

List execution environments in a Katalon project

list_project_builds

Returns build identifier names, IDs, and the count of associated test runs. List software builds in a Katalon project

list_project_releases

Returns release names, scheduled dates, and aggregated test run statistics. List defined releases in a Katalon project

list_projects

Returns project names, IDs, and descriptions. List all projects on Katalon TestOps

list_test_results

Returns durations, statuses, and error messages. List detailed test results within a test run

list_test_runs

Returns run IDs, pass/fail status, total counts, and execution durations. List test runs within a Katalon project

rerun_test_run

Returns the newly created test run ID. Re-run an existing Katalon test run

Example Prompts for Katalon TestOps (AI Test Management) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Katalon TestOps (AI Test Management) immediately.

"List the last 5 test runs in project 'E-commerce API' (ID: 123)"

"Rerun test run ID 986"

"What are the active releases defined in project 123?"

Troubleshooting Katalon TestOps (AI Test Management) MCP Server with CrewAI

Common issues when connecting Katalon TestOps (AI 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

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

Katalon TestOps (AI Test Management) + CrewAI FAQ

Common questions about integrating Katalon TestOps (AI 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.