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 Google ADK 10 tools — connect in under 2 minutes

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

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Mabl (AI-Powered Test Automation) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="mabl_ai_powered_test_automation_agent",
    instruction=(
        "You help users interact with Mabl (AI-Powered Test Automation) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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60%Token savings

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IAMAccess control

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DLPData protection

V8 IsolateSandboxed

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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 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.

Google ADK natively supports Mabl (AI-Powered Test Automation) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Mabl (AI-Powered Test Automation) MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Mabl (AI-Powered Test Automation) via MCP

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

Google ADK provides unique advantages when paired with Mabl (AI-Powered Test Automation) through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Mabl (AI-Powered Test Automation)

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Mabl (AI-Powered Test Automation) tools with BigQuery, Vertex AI, and Cloud Functions

Mabl (AI-Powered Test Automation) + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Mabl (AI-Powered Test Automation) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Mabl (AI-Powered Test Automation) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Mabl (AI-Powered Test Automation) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Mabl (AI-Powered Test Automation)

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

These 10 tools become available when you connect Mabl (AI-Powered Test Automation) to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Mabl (AI-Powered Test Automation) to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Mabl (AI-Powered Test Automation) + Google ADK FAQ

Common questions about integrating Mabl (AI-Powered Test Automation) MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.