How to Use the Glofox MCP in Mastra AI

Q: Can Mastra AI automate Glofox bookings?

Yes, you can script logic that triggers listbookings and acts on the results. This is ideal for managing waitlists or handling last-minute schedule changes.

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Connect Glofox MCP to Mastra AI

Create your Vinkius account to connect Glofox 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 Glofox with Mastra AI

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Automated booking management for Mastra AI

Chain together `list_bookings` and `list_classes` to handle class capacity automatically. Your Mastra agents can trigger retries if a specific slot is locked. Define clear logic paths for when a booking fails. The agent handles the backoff and notifies your staff, keeping operations moving without manual intervention.

Conditional member verification

Use `search_members` and `get_member` to verify access rights before triggering other actions. Your workflow can branch based on the returned membership status. If a member is inactive, the agent can pause the process or alert an admin. This ensures your gym staff only deals with actionable, verified data.

Multi-step studio operations

Coordinate `list_trainers` and `list_courses` to manage staff schedules and session pricing. Your agents maintain the state across multiple steps of a complex operation. This structure allows you to build custom escalation paths. If a trainer is unavailable, the agent shifts to the next step immediately.

Setup guide

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

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

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

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Common questions about Glofox MCP in Mastra AI

You define the server in your Mastra configuration and spread the tools into your agent. This lets your workflows call gym operations as individual steps.

Yes, you can script logic that triggers `list_bookings` and acts on the results. This is ideal for managing waitlists or handling last-minute schedule changes.

Mastra handles retries and failures automatically. If a tool call hits a rate limit, the agent waits and tries again based on your workflow settings.

You use an endpoint token provided by Vinkius. This keeps your credentials out of your codebase while allowing the agent to perform its tasks.

The server restricts access to individual member profiles and payment records. No private data is cached, and the agent only views records during the active task.

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