How to Use the Arbox MCP in Mastra AI

Q: How do I initialize the Arbox MCP Server in Mastra AI?

Install @mastra/mcp@latest and instantiate a new MCPClient with your Vinkius endpoint URL. Call listTools() on that client and spread the results into your agent's tool array. The framework auto-detects the transport layer.

Q: How do I link Arbox class schedules to billing actions in Mastra AI?

You map out a multi-step workflow. Step one runs getschedule to verify the class exists, and step two checks the member's status via getclient before confirming the booking.

Build resilient workflows that manage gym memberships and class schedules using the Arbox MCP Server for Mastra AI.

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Connect Arbox MCP to Mastra AI

Create your Vinkius account to connect Arbox 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 Arbox with Mastra AI

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Perplexity

Automate lead follow-ups with Mastra AI workflows.

Dropped leads cost your fitness studio money. You configure a workflow that triggers `list_leads` every morning to find prospects who haven't been contacted. The built-in engine automatically branches based on the prospect's status. If a lead needs a phone call, the system executes `create_task` and assigns it to a sales rep. Mastra handles any API timeouts automatically, retrying the connection with exponential backoff until the assignment sticks.

Build self-healing class booking pipelines.

Members expect their reservations to work flawlessly. When a user requests a spot, your agent fires `book_class` through the MCP Server. Network hiccups won't break the process because the framework catches the failure and tries again. Sometimes a class is full. You set up conditional logic that catches the rejection and immediately runs `get_schedule` to find alternative times. The agent then presents those options to the member.

Enforce human approval for membership changes.

Upgrading or canceling accounts requires oversight. When a request comes in to modify a profile, the agent prepares the `update_client` payload but pauses execution. The `requireToolApproval` flag stops the workflow dead in its tracks. A manager gets a notification to review the proposed changes. Once they click approve, the workflow resumes and commits the update to Arbox.

Setup guide

Set up Arbox 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 Arbox 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: "arbox-alternative-mcp-client",
  servers: {
    "arbox-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Arbox. 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 Arbox MCP in Mastra AI

Install `@mastra/mcp@latest` and instantiate a `new MCPClient` with your Vinkius endpoint URL. Call `listTools()` on that client and spread the results into your agent's tool array. The framework auto-detects the transport layer.

The framework handles retries natively. If the API drops the connection during profile creation, the workflow engine waits and tries again based on your configured backoff strategy.

You map out a multi-step workflow. Step one runs `get_schedule` to verify the class exists, and step two checks the member's status via `get_client` before confirming the booking.

Mastra automatically negotiates the best available transport protocol when connecting to Vinkius. It defaults to Streamable HTTP or SSE depending on what the endpoint supports.

Lead lists and membership details flow through a zero-trust, ephemeral sandbox. The execution context vanishes completely after the workflow completes its task. Your proprietary data never rests on our infrastructure.

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