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How to Use the Mabl (AI-Powered Test Automation) MCP in Mastra AI

Build resilient, self-healing QA workflows using Mabl and Mastra AI to handle complex test orchestration.

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Connect Mabl (AI-Powered Test Automation) MCP to Mastra AI

Create your Vinkius account to connect Mabl (AI-Powered Test Automation) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automate Test Triggers with Mastra AI

This MCP server feeds Mabl's execution engine directly into your Mastra AI workflows. You can build a deployment pipeline where `mb.trigger_plan` fires off an E2E test suite immediately after a code push. If the trigger drops due to a network hiccup, Mastra's built-in exponential backoff catches it and tries again. You control the exact sequence of events. The workflow uses `mb.list_envs` to confirm the staging environment is active before starting the test. It stops humans from having to manually click buttons every time a PR merges.

Conditional Branching on Test Failures

Mastra excels at handling things when they break. By querying `mb.get_execution`, your workflow engine reads the specific failure analysis and screenshots from Mabl. You write logic that says: if the test fails on a specific UI element, automatically create a Jira ticket and halt the deployment. If the test passes, the agent proceeds to the next node in your workflow. It checks `mb.list_executions` to verify all parallel runs finished cleanly. You get a deterministic pipeline that makes hard decisions based on actual test outcomes.

Audit Workspace Configurations

This MCP integration lets your agent run a scheduled Mastra workflow that calls `mb.list_tests` and `mb.list_plans` to audit coverage across your entire organization. Managing thousands of API tests requires strict oversight. The workflow pulls metadata using `mb.workspace_info` and checks it against your internal compliance database. If it finds orphaned test plans or missing application targets via `mb.get_app`, it flags them for review.

Setup guide

Set up Mabl (AI-Powered Test Automation) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Mabl (AI-Powered Test Automation) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "mabl-ai-powered-test-automation-mcp-client",
  servers: {
    "mabl-ai-powered-test-automation-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Mabl (AI-Powered Test Automation) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Mabl (AI-Powered Test Automation) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Mabl (AI-Powered Test Automation) transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mabl. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Mabl (AI-Powered Test Automation) MCP in Mastra AI

Initialize the `MCPClient` with your Mabl server URL. Call `mcpClient.listTools()` and spread the resulting tools into your Mastra agent's tool array. The framework auto-detects your HTTP transport.
Yes. If a call to `mb.trigger_plan` times out, Mastra catches the error and applies an exponential backoff strategy. Your deployment workflow will not fail just because of a transient network issue.
Set up a node that calls `mb.get_execution`. Extract the status from the tool response. Use Mastra's conditional routing to send failures to an alerting node and passes to the deployment node.
You use Mastra's `requireToolApproval` flag on `mb.trigger_plan`. The workflow will pause and wait for a human-in-the-loop to confirm the action before it sends the deployment event to Mabl.
The server accesses your API endpoints, environment variables, and execution logs. Vinkius routes this traffic through an ephemeral zero-trust container. The moment your Mastra workflow finishes its run, the container dies and takes your data with it.

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