How to Use the Wellhub MCP in OpenAI Agents SDK
Process corporate wellness data using your OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wellhub MCP to OpenAI Agents SDK
Create your Vinkius account to connect Wellhub 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.
Check Member Eligibility with MCP Server
Use the `check_eligibility` tool to determine a member's current plan tier and access permissions. This confirms who can use services at any given time. You also run `list_eligible_employees`, which provides each worker’s specific plan tier, activation date, and usage status for quick auditing.
Manage Gym Check-ins via OpenAI Agents SDK
When a member scans their QR code at the front desk, call `validate_check_in`. This function confirms both plan eligibility and records the visit instantly. The agent can also pull historical data using `list_check_ins`, showing which gym name, date, time, and plan were used for utilization reporting.
View Available Classes through MCP Server
To see what's available, use `list_classes`. This shows the schedule, overall capacity, and how many spots are visible to corporate members. If you need to check specific class details later, `list_bookings` gives you the class name, time, member name, and current booking status.
Set up Wellhub MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Wellhub tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Wellhub tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Wellhub tools and returns structured results. Copy the full example on the right to get started.
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="Wellhub Agent",
instructions="You have access to Wellhub tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wellhub. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Wellhub MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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