How to Use the Zenoti MCP in LlamaIndex

Q: Can I use LlamaIndex to track guest spending at Zenoti?

Yes. By indexing invoice and gift card data (listinvoices, listgiftcards), you create a searchable record of all revenue streams. You can ask complex questions like, 'Show me total sales for the last month related to memberships.'

Q: Does Zenoti support viewing employee details with LlamaIndex?

You can index the output of listemployees, which contains role, schedule, and payroll info. This allows your agent to answer specific questions about staff roles or commission structures across different locations.

Q: How do I check service pricing with Zenoti using LlamaIndex?

Simply index the data from listservices and listpackages. This gives you a comprehensive, searchable knowledge base of all available services and their corresponding costs.

Turn Zenoti data into a searchable knowledge base using LlamaIndex with your AI client.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Zenoti MCP to LlamaIndex

Create your Vinkius account to connect Zenoti to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Zenoti with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Indexing Operational Data with MCP Server

LlamaIndex takes the raw results from `list_centers` and indexes them. You can then query, 'What are the operating hours for our downtown branch?' The answer comes grounded in the actual API data, not some guess. It's useful for building RAG applications that combine static documents with live operational facts. Knowing a center's timezone or address is instantly searchable.

Retrieving Deep Guest History via LlamaIndex

Instead of just getting a flat list, you index guest records using `search_guests`. You can then ask, 'What were the preferred therapists and product preferences for John Doe in Q3?' The tool output becomes part of your knowledge base. This allows querying past sessions—like specific invoice details from `list_invoices` or membership status from `list_memberships`—and getting answers based on that data.

Knowledge-Augmented Scheduling via LlamaIndex

You can index the entire service catalog using `list_services`, including pricing, duration, and required room types. This lets you build a unified, queryable resource map. The agent combines this with employee data; for instance, asking, 'Which employees are trained to perform services over 60 minutes?' The output from `list_employees` becomes part of the searchable index.

Setup guide

Set up Zenoti MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Zenoti MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Zenoti tools.",
)
response = await agent.run("List recent Zenoti data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zenoti. 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.

Connect Zenoti now

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 Zenoti MCP in LlamaIndex

You can query appointment schedules by indexing results from `list_appointments`. If you ask, 'Show me open slots for a massage on Friday,' the system grounds your answer in the actual capacity data.

Yes. By indexing invoice and gift card data (`list_invoices`, `list_gift_cards`), you create a searchable record of all revenue streams. You can ask complex questions like, 'Show me total sales for the last month related to memberships.'

This MCP Server touches financial transaction data and guest profile information. The indexed results are always grounded in the live API data, providing full traceability back to the original record.

You can index the output of `list_employees`, which contains role, schedule, and payroll info. This allows your agent to answer specific questions about staff roles or commission structures across different locations.

Simply index the data from `list_services` and `list_packages`. This gives you a comprehensive, searchable knowledge base of all available services and their corresponding costs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript