How to Use the Arbox MCP in Mastra AI

Q: How do I register Arbox tools inside a Mastra AI agent?

Instantiate the client with your Vinkius URL and call mcpClient.listTools(). Spread these tools directly into your agent's tool array so it can immediately access gym schedules and member details.

Q: Does the Arbox MCP Server integration with Mastra AI support human approval?

You can enable requireToolApproval for sensitive actions like modifying schedules. This ensures your staff reviews the agent's proposed changes before they write back to your studio database.

Q: How do I query specific gym locations with this MCP Server?

The agent calls getbranchinfo to retrieve branch details. This provides the exact location context needed to run multi-site fitness operations.

Build automated workflows for your Arbox studio using Mastra AI to handle payments and member outreach.

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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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Automate studio billing retries with Mastra AI

The `list_payments` tool lets your Mastra agent check for failed transactions and initiate custom billing recovery workflows. Mastra AI uses its built-in workflow engine to execute conditional logic when a gym member's card is declined. This MCP Server integration ensures your billing system communicates directly with your agent without custom webhook setups.

Trigger conditional follow-ups for gym leads

The `list_leads` tool feeds your studio sales pipeline into Mastra's step-by-step workflow engine. The agent analyzes lead engagement and schedules automated tasks based on whether a prospect has booked a trial. You spread the output of `mcpClient.listTools()` into your agent configuration to grant access to the MCP. If a lead goes cold, Mastra handles the retry logic and schedules a follow-up task instantly.

Manage class capacity automatically

The `list_schedule` tool monitors gym class bookings to identify overbooked sessions or empty time slots. Mastra agents can run scheduled checks to balance attendance and notify waitlisted members. By using `requireToolApproval`, you can force the system to ask a manager before modifying schedules. The agent gets the roster via `get_branch_info` and updates the schedule based on your custom business logic.

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-mcp-client",
  servers: {
    "arbox-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

Instantiate the client with your Vinkius URL and call `mcpClient.listTools()`. Spread these tools directly into your agent's tool array so it can immediately access gym schedules and member details.

Yes, Mastra's workflow engine can catch payment errors returned by `list_payments`. It then executes your custom retry policy with exponential backoff to handle temporary gateway issues.

You can enable `requireToolApproval` for sensitive actions like modifying schedules. This ensures your staff reviews the agent's proposed changes before they write back to your studio database.

The agent calls `get_branch_info` to retrieve branch details. This provides the exact location context needed to run multi-site fitness operations.

Your member profiles and schedule data are processed in a zero-trust, ephemeral environment. Vinkius handles the authorization token securely, ensuring your API credentials are never exposed to the agent framework.

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