Wellhub MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Wellhub through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Wellhub Assistant",
instructions=(
"You help users interact with Wellhub. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Wellhub"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Wellhub MCP Server
Connect your Wellhub (formerly Gympass) account to any AI agent and manage your corporate wellness program through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from Wellhub through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Wellhub, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Eligibility — Check employee eligibility, manage enrollment, and verify plan access
- Check-ins — Track gym visits, validate QR codes, and monitor utilization
- Bookings — View class reservations made through the Wellhub app
- Classes — List published classes visible to corporate members
- Locations — Manage partner gym and studio locations
- Partner Profile — Access business details, amenities, and network tier
The Wellhub MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Wellhub to OpenAI Agents SDK via MCP
Follow these steps to integrate the Wellhub MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Wellhub
Why Use OpenAI Agents SDK with the Wellhub MCP Server
OpenAI Agents SDK provides unique advantages when paired with Wellhub through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Wellhub + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Wellhub MCP Server delivers measurable value.
Automated workflows: build agents that query Wellhub, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Wellhub, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Wellhub tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Wellhub to resolve tickets, look up records, and update statuses without human intervention
Wellhub MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Wellhub to OpenAI Agents SDK via MCP:
check_eligibility
Returns plan tier and access permissions. Check employee eligibility
get_partner_info
Get partner profile
list_bookings
Shows class name, time, member name, and booking status. List class bookings
list_check_ins
Shows gym name, date, time, and plan used. Essential for utilization reporting. List gym check-ins
list_classes
Shows schedule, capacity, and available spots visible to corporate members. List available classes
list_eligible_employees
Shows plan tier, activation date, and usage status. List eligible corporate employees
list_locations
List partner locations
validate_check_in
Confirms plan eligibility and records the visit. Called when a member scans their QR code at the front desk. Validate a gym check-in
Example Prompts for Wellhub in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Wellhub immediately.
"How many Wellhub check-ins did we have this week?"
"Verify if Alex Johnson is eligible for the Silver tier."
"List the upcoming Yoga classes available to Wellhub members at our main location."
Troubleshooting Wellhub MCP Server with OpenAI Agents SDK
Common issues when connecting Wellhub to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Wellhub + OpenAI Agents SDK FAQ
Common questions about integrating Wellhub MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Wellhub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Wellhub to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.