How to Use the ClubReady MCP in OpenAI Agents SDK

Q: How do I initialize the ClubReady MCP Server within the OpenAI Agents SDK?

Install the package using pip install openai-agents and import MCPServerStreamableHttp. Pass your Vinkius endpoint URL into the parameter block and add the server instance directly to your agent's mcpservers list.

Q: How do we check gym staff schedules using this setup?

Your agent calls liststaff to pull roles, contact info, and active certifications. It cross-references this with listschedule to confirm which trainer is running a specific class.

Build production-grade gym booking agents using the OpenAI Agents SDK to manage ClubReady members and billing directly from your code.

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Connect ClubReady MCP to OpenAI Agents SDK

Create your Vinkius account to connect ClubReady 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 ClubReady with OpenAI Agents SDK

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Automated Gym Access Control with OpenAI Agents SDK

The `do_check_in` tool handles member check-ins and door access directly within your Python agent workflow. When your OpenAI agent receives a barcode scan, it verifies membership status and triggers physical door access in one step. This setup lets you build autonomous front-desk agents. The agent uses `list_check_ins` to monitor traffic and handles access issues without human intervention.

Resolve Billing Discrepancies Safely

The `get_member_billing` tool exposes real-time financial statuses to your agent system. This MCP tool pulls outstanding balances and payment history so your agent can decide whether to restrict access or prompt for payment. Using this tool within the OpenAI Agents SDK ensures that agents can hand off billing disputes to a human agent when a member objects to a charge. The agent uses `get_member` to pull the profile details before transferring the session.

Manage Class Rosters and Schedules

The `list_class_roster` tool pulls real-time attendance and waitlist numbers for any scheduled gym class. Your agent checks this data against `list_schedule` to help members book open spots or check their position in line. Connecting this MCP server to your OpenAI agent setup means you can automate class management. The agent reads `list_membership_plans` to confirm a member's plan allows booking before modifying the roster.

Setup guide

Set up ClubReady 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 ClubReady tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ClubReady 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="ClubReady Agent",
            instructions="You have access to ClubReady 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 ClubReady (ABC Fitness). 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 ClubReady MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents` and import `MCPServerStreamableHttp`. Pass your Vinkius endpoint URL into the parameter block and add the server instance directly to your agent's `mcp_servers` list.

No, this integration is read-focused except for check-ins. Your agent uses `get_member` and `search_members` to read profile data, but it cannot modify fields directly.

Yes, you can route tasks between specialized agents. For example, a front-desk agent can use `do_check_in` and, if a billing issue arises, hand off the session to a billing agent equipped with `get_member_billing`.

Your agent calls `list_staff` to pull roles, contact info, and active certifications. It cross-references this with `list_schedule` to confirm which trainer is running a specific class.

Your financial data never persists on Vinkius or OpenAI servers. This MCP gateway processes the requests through an ephemeral, zero-trust V8 isolate that processes the call and discards the data immediately after returning it to your Python runtime.

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