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 LangChain 10 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Mabl (AI-Powered Test Automation) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "mabl-ai-powered-test-automation": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Mabl (AI-Powered Test Automation), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Mabl (AI-Powered Test Automation) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

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

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

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

The largest ecosystem of integrations, chains, and agents. combine Mabl (AI-Powered Test Automation) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Mabl (AI-Powered Test Automation) queries for multi-turn workflows

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

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

RAG with live data: combine Mabl (AI-Powered Test Automation) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Mabl (AI-Powered Test Automation), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Mabl (AI-Powered Test Automation) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Mabl (AI-Powered Test Automation) tool call, measure latency, and optimize your agent's performance

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

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

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mabl (AI-Powered Test Automation) + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.