How to Use the Zenoti MCP in OpenAI Agents SDK

Q: Does the OpenAI Agents SDK support Zenoti multi-location management?

Yes. It provides tools specifically for this, such as listcenters which returns name, address, and operating hours, letting your agent manage operations across multiple spa locations.

Q: Can the OpenAI Agents SDK track guest loyalty points from Zenoti?

Absolutely. The system has a dedicated tool, getguestloyalty, that retrieves specific point balances for any given guest profile in your Zenoti environment.

Build production agents that manage spa operations using the OpenAI Agents SDK.

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Connect Zenoti MCP to OpenAI Agents SDK

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

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Manage Guest Profiles and Appointments with MCP Server

Need to find out everything about a client? Your agent can use `search_guests` to pull up profile details, visit history, loyalty points, preferred therapist info, and product tastes. It's powerful stuff. The system also lets your agent check availability or grab appointment specifics using tools like `get_appointment` or filter by date with `list_appointments`. This makes booking workflows feel real.

Track Staffing and Center Details via MCP Server

Managing a chain means dealing with multiple locations and people. Your agent can pull details on specific sites using `get_center` or see operational hours across several branches with `list_centers`. It handles the geography part. It also keeps track of your workforce, giving you access to payroll info and commission structures through `list_employees`, making staff management straightforward.

Handle Finances and Membership Billing

Keep tabs on money flow. The agent can list all invoices using `list_invoices` or check how many gift cards a specific guest owns with `list_gift_cards`. Tracking revenue becomes simple. If you deal in recurring services, it handles everything from listing packages via `list_packages` to detailing the pricing and included perks of various membership plans through `list_memberships`.

Setup guide

Set up Zenoti 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 Zenoti tools at runtime.
3

Create your Agent

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

Run the agent

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

The OpenAI Agents SDK treats the Zenoti MCP Server like any other external service. You pass it the server endpoint, and your agent auto-discovers all available tools—like `get_guest` or `list_services`—ready to use in conversation.

You're working with core business entities: guest profiles, appointment records, service packages, and financial documents like invoices. The agent handles complex relationships between these data points.

Yes. It provides tools specifically for this, such as `list_centers` which returns name, address, and operating hours, letting your agent manage operations across multiple spa locations.

Absolutely. The system has a dedicated tool, `get_guest_loyalty`, that retrieves specific point balances for any given guest profile in your Zenoti environment.

The server touches sensitive operational and personal data, specifically `guest profile` information. You must ensure your endpoint token provides least-privilege access to only the necessary records.

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