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 Pydantic AI 10 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mabl (AI-Powered Test Automation) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Mabl (AI-Powered Test Automation) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Mabl (AI-Powered Test Automation)?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<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.

Pydantic AI validates every Mabl (AI-Powered Test Automation) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Mabl (AI-Powered Test Automation) with type-safe schemas

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

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Mabl (AI-Powered Test Automation) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Mabl (AI-Powered Test Automation) connection logic from agent behavior for testable, maintainable code

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

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

Type-safe data pipelines: query Mabl (AI-Powered Test Automation) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Mabl (AI-Powered Test Automation) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Mabl (AI-Powered Test Automation) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Mabl (AI-Powered Test Automation) responses and write comprehensive agent tests

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

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

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mabl (AI-Powered Test Automation) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Mabl (AI-Powered Test Automation) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.