How to Use the Glofox MCP in OpenAI Agents SDK

Q: Does the OpenAI Agents SDK support real-time check-ins for Glofox classes?

Yes, the OpenAI Agents SDK agent can poll listbookings to monitor active Glofox check-ins. By combining this with getmember, the OpenAI Agents SDK helps front-desk staff flag expired Glofox memberships as people walk through the door.

Q: How does the OpenAI Agents SDK manage Glofox trainer schedules?

The OpenAI Agents SDK uses listtrainers to pull the active roster of Glofox coaches. It matches them against scheduled sessions from listclasses to ensure you never double-book a trainer in Glofox using the OpenAI Agents SDK.

Let your OpenAI Agents SDK handle Glofox gym bookings, check member status, and manage class schedules directly in production.

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Connect Glofox MCP to OpenAI Agents SDK

Create your Vinkius account to connect Glofox to OpenAI Agents SDK 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 OpenAI Agents SDK

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Track daily Glofox attendance with OpenAI Agents SDK

Your OpenAI Agents SDK agent uses `list_classes` and `list_bookings` to track daily Glofox class schedules and attendance rosters. You can see which Glofox members actually secured a spot on the fly using the OpenAI Agents SDK. If a Glofox class fills up, the OpenAI Agents SDK agent manages waitlists instantly. The OpenAI Agents SDK caches the tools list on startup to keep Glofox MCP Server calls fast and direct.

Verify Glofox memberships via OpenAI Agents SDK

The tool `search_members` pulls up a Glofox gym member's profile and active billing status instantly via the OpenAI Agents SDK. It triggers `list_memberships` to check their active plan and access hours during check-in disputes with the OpenAI Agents SDK. You do not want a basic bot changing Glofox billing details by mistake. Built-in guardrails in the OpenAI Agents SDK validate these Glofox actions before they execute.

Analyze Glofox gym revenue via OpenAI Agents SDK

Using `list_purchases`, your OpenAI Agents SDK agent tracks what Glofox members are buying without digging through spreadsheets. It also checks `list_courses` to see which multi-week Glofox fitness programs make money using the OpenAI Agents SDK. You get live Glofox revenue numbers directly in your OpenAI Agents SDK workspace. Because the OpenAI Agents SDK logs every MCP tool call, you can trace exactly how it fetched your Glofox financial data.

Setup guide

Set up Glofox MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Glofox tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Glofox tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Glofox tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Glofox Agent",
            instructions="You have access to Glofox tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 Glofox. 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 Glofox MCP in OpenAI Agents SDK

You install the OpenAI Agents SDK and pass the Vinkius HTTP endpoint to the constructor to load Glofox tools. The OpenAI Agents SDK automatically discovers the Glofox tools like `get_member` and `list_trainers` with zero manual configuration.

Yes, you control Glofox access through the OpenAI Agents SDK built-in guardrails. You can restrict the OpenAI Agents SDK to read-only MCP tools like `list_classes` or require manual approval before it checks Glofox member records via `search_members`.

Yes, the OpenAI Agents SDK agent can poll `list_bookings` to monitor active Glofox check-ins. By combining this with `get_member`, the OpenAI Agents SDK helps front-desk staff flag expired Glofox memberships as people walk through the door.

The OpenAI Agents SDK uses `list_trainers` to pull the active roster of Glofox coaches. It matches them against scheduled sessions from `list_classes` to ensure you never double-book a trainer in Glofox using the OpenAI Agents SDK.

This MCP Server only touches Glofox member profile data and purchase history like `list_purchases` and `search_members` under Vinkius's zero-trust sandbox. No raw payment card data is processed or stored by the OpenAI Agents SDK, keeping your Glofox financial records isolated.

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