Zenoti MCP Server for OpenAI Agents SDK 14 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Zenoti through 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="Zenoti Assistant",
instructions=(
"You help users interact with Zenoti. "
"You have access to 14 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Zenoti"
)
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 Zenoti MCP Server
Connect your Zenoti organization to any AI agent and manage your spa, salon, or medspa enterprise through natural conversation.
The OpenAI Agents SDK auto-discovers all 14 tools from Zenoti through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Zenoti, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Guests — Search guests, view profiles, preferences, allergies, and loyalty points
- Appointments — Browse bookings with therapist, room, service, and payment status
- Services — List all spa/salon services with pricing, duration, and categories
- Therapists — View providers with specialties, ratings, and availability
- Invoices — Track revenue, sales, tips, and payment breakdowns
- Memberships — Manage membership tiers: basic, premium, VIP, couples
- Packages — Browse bundled services: couples massage, day spa, bridal
- Gift Cards — Track gift card balances, sales, and redemptions
- Centers — Manage multi-location operations across your enterprise
The Zenoti MCP Server exposes 14 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 Zenoti to OpenAI Agents SDK via MCP
Follow these steps to integrate the Zenoti 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 14 tools from Zenoti
Why Use OpenAI Agents SDK with the Zenoti MCP Server
OpenAI Agents SDK provides unique advantages when paired with Zenoti 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
Zenoti + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Zenoti MCP Server delivers measurable value.
Automated workflows: build agents that query Zenoti, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Zenoti, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Zenoti tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Zenoti to resolve tickets, look up records, and update statuses without human intervention
Zenoti MCP Tools for OpenAI Agents SDK (14)
These 14 tools become available when you connect Zenoti to OpenAI Agents SDK via MCP:
get_appointment
Get appointment details
get_center
Get center details
get_guest
Get guest profile
get_guest_loyalty
Get guest loyalty points
list_appointments
Filter by date to see a specific day. List spa/salon appointments
list_centers
Includes name, address, timezone, and operating hours. Essential for multi-location spa chains like Massage Envy. List spa/salon locations
list_employees
Includes role, schedule, payroll info, and commission structure. List all employees
list_gift_cards
Filter by guest to see a specific person's cards. List gift cards
list_invoices
Filter by date range for revenue analysis. List sales and invoices
list_memberships
Shows pricing, included services, visit limits, and perks. List membership plans
list_packages
Shows included services and pricing. List service packages
list_services
Includes pricing, duration, category, and required room type. List spa/salon services
list_therapists
List therapists and providers
search_guests
Returns profile, visit history, loyalty points, preferred therapist, and product preferences. Search spa/salon guests
Example Prompts for Zenoti in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Zenoti immediately.
"Show today's appointments at the downtown center."
"Find the profile for guest Maria Gonzalez and check her loyalty points."
"What is the total revenue collected across all centers today?"
Troubleshooting Zenoti MCP Server with OpenAI Agents SDK
Common issues when connecting Zenoti to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Zenoti + OpenAI Agents SDK FAQ
Common questions about integrating Zenoti 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 Zenoti 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 Zenoti to OpenAI Agents SDK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.