Can I see exactly why a Mabl test failed using my agent?

Yes. Use the `mb.get_execution` tool with a specific Execution ID. Your agent will retrieve deep diagnostic information, including the failure reason, test outcomes, and visual screenshots to help you identify UI regressions instantly.

How do I trigger a specific test plan through a conversation?

The `mb.trigger_plan` tool allows your agent to start executions associated with a Plan ID or Label. You can also specify an optional Environment ID to target a specific stage (e.g., Staging vs Prod) for your automated tests.

Can my agent list all available testing environments in my account?

Absolutely. Use the `mb.list_envs` tool to identify all configured environments. Your agent will report the environment names, IDs, and any associated environment variables defined in Mabl.

Mabl (AI-Powered Test Automation) MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Mabl (AI-Powered Test Automation)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Mabl (AI-Powered Test Automation) through Vinkius, pass the Edge URL in the `mcps` parameter and every Mabl (AI-Powered Test Automation) 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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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mabl (AI-Powered Test Automation) Specialist",
    goal="Help users interact with Mabl (AI-Powered Test Automation) effectively",
    backstory=(
        "You are an expert at leveraging Mabl (AI-Powered Test Automation) 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 Mabl (AI-Powered Test Automation) "
        "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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IAMAccess control

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DLPData protection

V8 IsolateSandboxed

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<40msKill switch

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 Mabl (AI-Powered Test Automation) MCP Server

Connect your Mabl account to any AI agent and take full control of your AI-powered E2E testing and quality orchestration through natural conversation.

When paired with CrewAI, Mabl (AI-Powered Test Automation) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Mabl (AI-Powered Test Automation) 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

Plan Orchestration — List all test plans and trigger immediate executions across specific environments (staging, production) directly from your agent
Execution Monitoring — Track the real-time status of ongoing test runs and retrieve detailed outcome summaries including pass/fail rates and durations
AI Failure Analysis — Deep-dive into execution results to extract precise failure reasons, diagnostic insights, and visual screenshots for rapid debugging
Environment Audit — List configured testing environments and retrieve associated variables to ensure accurate test execution context
App & API Discovery — Enumerate all monitored applications and their target URLs (web + API) to manage your testing grid securely
Label & Tag Management — Discover and list plan labels used to group and trigger specific testing suites across your organization

The Mabl (AI-Powered Test Automation) 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 Mabl (AI-Powered Test Automation) to CrewAI via MCP

Follow these steps to integrate the Mabl (AI-Powered Test Automation) 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 Mabl (AI-Powered Test Automation)

Why Use CrewAI with the Mabl (AI-Powered Test Automation) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Mabl (AI-Powered Test Automation) 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

Mabl (AI-Powered Test Automation) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Mabl (AI-Powered Test Automation) MCP Server delivers measurable value.

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

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

Mabl (AI-Powered Test Automation) MCP Tools for CrewAI (10)

These 10 tools become available when you connect Mabl (AI-Powered Test Automation) to CrewAI via MCP:

mb.get_app

Get full details of a Mabl application including name, description, targets (web URLs + API base URLs), and labels

mb.get_execution

Get full details of a Mabl execution result including status, duration, test outcomes, failure analysis, and screenshots

mb.list_apps

Use this to lookup application details. List all applications on Mabl. Mabl is an AI-powered E2E testing platform for web, mobile, and API testing with self-healing tests

mb.list_envs

). Returns env names, IDs, and environment variables. List all environments on Mabl

mb.list_executions

List latest execution results on Mabl

mb.list_labels

Returns label names and associated plan counts. List all labels (tags) used in Mabl plans

mb.list_plans

Returns plan names, statuses, triggers, and linked apps/envs. List all test plans (run policies) on Mabl

mb.list_tests

List all API tests on Mabl

mb.trigger_plan

Trigger a Mabl plan run via deployment event

mb.workspace_info

Does not require args. Get workspace info for the authenticated Mabl API key including workspace name, org, and key metadata

Example Prompts for Mabl (AI-Powered Test Automation) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Mabl (AI-Powered Test Automation) immediately.

"List all my Mabl test plans"

"Trigger the 'Checkout-Regression' plan in the Staging environment"

"Show me the details for the last failed execution"

Troubleshooting Mabl (AI-Powered Test Automation) MCP Server with CrewAI

Common issues when connecting Mabl (AI-Powered Test Automation) 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.

Mabl (AI-Powered Test Automation) + CrewAI FAQ

Common questions about integrating Mabl (AI-Powered Test Automation) 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.