How to Use the WellnessLiving MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK handle scheduling for WellnessLiving?

It uses the listschedule tool. Your agent can pull today's class timetable or check future availability by invoking this specific MCP Server function. It handles time zones and conflicts automatically.

Q: Can I use OpenAI Agents SDK to track client records in WellnessLiving?

Absolutely. The searchclients tool lets you pull comprehensive client profiles, including their visit history and current memberships. This data is immediately available for your agent to interpret.

Q: What if I need revenue reports using the OpenAI Agents SDK with WellnessLiving?

You use getreport. This single tool covers key metrics like revenue, attendance, and retention. Your AI client just asks for a report type, and the agent executes it against the MCP Server.

Q: Does the OpenAI Agents SDK support multiple service types?

Yes. The listservices tool allows you to list every class type or service offered. Your agent can then use this list to guide conversations about what clients should book next.

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Connect WellnessLiving MCP to OpenAI Agents SDK

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

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Run WellnessLiving Reports via MCP Server

Need to know how the business is doing? Use `get_report` to pull key metrics like revenue, attendance counts, and retention rates. You get immediate insight into your studio's health without manual report generation. This tool keeps all reporting centralized within the MCP Server framework. It makes running complex queries easy for your AI client, so you can always track performance right after a busy week.

Search and Review WellnessLiving Clients

Finding specific clients is simple. The `search_clients` tool pulls not just the profile, but also their current memberships and full visit history in one go. It’s perfect for quickly checking client status before a session. When you run this via your OpenAI Agents SDK, the agent handles the complex filtering so you don't have to write specific queries. You just ask what you need.

Check Staff and Location Details

Want a list of all staff members or locations? The `list_staff` and `list_locations` tools give you immediate, accurate lists. This is essential for onboarding new hires or confirming service areas. Because the OpenAI Agents SDK auto-discovers these MCP tools, your agent can use them naturally in conversation. It's just as easy to check staff names as it is to get general business info using `get_business_info`.

Setup guide

Set up WellnessLiving 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 WellnessLiving tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate WellnessLiving 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="WellnessLiving Agent",
            instructions="You have access to WellnessLiving tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about WellnessLiving MCP in OpenAI Agents SDK

It uses the `list_schedule` tool. Your agent can pull today's class timetable or check future availability by invoking this specific MCP Server function. It handles time zones and conflicts automatically.

Absolutely. The `search_clients` tool lets you pull comprehensive client profiles, including their visit history and current memberships. This data is immediately available for your agent to interpret.

You use `get_report`. This single tool covers key metrics like revenue, attendance, and retention. Your AI client just asks for a report type, and the agent executes it against the MCP Server.

Yes. The `list_services` tool allows you to list every class type or service offered. Your agent can then use this list to guide conversations about what clients should book next.

The server touches operational and financial metrics, specifically revenue figures, attendance counts, and retention rates. The `get_report` tool manages this sensitive business intelligence.

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