How to Use the Applitools MCP in Mastra AI

Q: How do I prevent Mastra AI from deleting Applitools baselines by mistake?

Wrap the deletebaseline and deletebatch tools in a requireToolApproval block. This forces the agent to ask for human permission before destroying any visual references.

Q: What is the best way to verify branch UI changes?

Have your agent run listbranchbaselines first. It pulls the exact visual configurations for that specific Git branch so your workflow knows what to compare.

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Connect Applitools MCP to Mastra AI

Create your Vinkius account to connect Applitools 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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Setup Applitools with Mastra AI

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Manage Applitools batches with Mastra AI

Visual tests fail for weird reasons. You need a workflow that catches those failures and handles them gracefully. Your agent can use this MCP Server to poll `list_batches` and find unresolved test runs. If a batch fails, Mastra branches the logic automatically. It triggers `get_batch` to pull the exact details, then decides whether to alert the team or retry the test sequence.

Handle branch-specific visual states

Feature branches often have completely different UI components than your main branch. Mixing up those references breaks builds fast. Use `list_branch_baselines` to isolate the visual states for the specific branch you are testing. Before kicking off a massive test suite, your agent should run `validate_key`. Mastra handles any network hiccups through the MCP connection with exponential backoff so your pipeline never crashes over a temporary glitch.

Clean up old test data safely

Stale visual references clutter your workspace and slow down QA. You can build a cleanup workflow that finds outdated references using `list_baselines`. When it finds a match, it fires `delete_baseline` or even `delete_batch`. Since these actions are destructive, you can use Mastra's requireToolApproval to keep a human in the loop before wiping data.

Setup guide

Set up Applitools 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Applitools tools become native Mastra tools.
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: "applitools-mcp-client",
  servers: {
    "applitools-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Applitools transactions"
);
console.log(result.text);

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Common questions about Applitools MCP in Mastra AI

Install @mastra/mcp and initialize MCPClient with your endpoint URL. Mastra auto-detects the transport layer and loads the tools automatically.

Yes. Built-in exponential backoff handles temporary timeouts when you call tools like get_batch_stats. You do not have to write custom retry logic.

Wrap the delete_baseline and delete_batch tools in a requireToolApproval block. This forces the agent to ask for human permission before destroying any visual references.

Have your agent run list_branch_baselines first. It pulls the exact visual configurations for that specific Git branch so your workflow knows what to compare.

No. Your application names and environment configurations stay locked inside the zero-trust V8 sandbox. The MCP Server processes the batch metadata ephemerally and leaves no trace behind.

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