WellnessLiving MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect WellnessLiving through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
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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="WellnessLiving Assistant",
instructions=(
"You help users interact with WellnessLiving. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from WellnessLiving"
)
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 WellnessLiving MCP Server
Connect your WellnessLiving studio to any AI agent and manage your fitness business through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from WellnessLiving through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries WellnessLiving, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Schedule — View daily class schedule with instructors, capacity, and enrollment
- Clients — Search members, view profiles, credits, and attendance history
- Staff — List instructors and trainers with roles and schedules
- Memberships — Browse all promotion/membership plans with pricing
- Locations — Manage multi-location studios with addresses and hours
- Reports — Access business reports: attendance, revenue, retention
- Business — View account profile and configuration
The WellnessLiving MCP Server exposes 9 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 WellnessLiving to OpenAI Agents SDK via MCP
Follow these steps to integrate the WellnessLiving 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 9 tools from WellnessLiving
Why Use OpenAI Agents SDK with the WellnessLiving MCP Server
OpenAI Agents SDK provides unique advantages when paired with WellnessLiving 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
WellnessLiving + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the WellnessLiving MCP Server delivers measurable value.
Automated workflows: build agents that query WellnessLiving, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries WellnessLiving, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through WellnessLiving tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query WellnessLiving to resolve tickets, look up records, and update statuses without human intervention
WellnessLiving MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect WellnessLiving to OpenAI Agents SDK via MCP:
get_business_info
Get business info
get_client
Get client profile
get_report
Reports include attendance, revenue, retention metrics. Get business report
list_locations
List business locations
list_memberships
List membership plans
list_schedule
List class schedule
list_services
List class types/services
list_staff
List staff members
search_clients
Returns profile, memberships, and visit history. Search clients/members
Example Prompts for WellnessLiving in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with WellnessLiving immediately.
"Show today's class schedule."
"Check David Chen's attendance history and remaining class credits."
"Generate a summary of yesterday's revenue and attendance for the Uptown studio."
Troubleshooting WellnessLiving MCP Server with OpenAI Agents SDK
Common issues when connecting WellnessLiving to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
WellnessLiving + OpenAI Agents SDK FAQ
Common questions about integrating WellnessLiving 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 WellnessLiving 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 WellnessLiving to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.