Which brands use Zenoti?

Zenoti powers 30,000+ locations worldwide including Massage Envy, Hand & Stone, European Wax Center, Massage Heights, Woodhouse Spas, and thousands of independent luxury spas and salons.

Zenoti MCP Server for CrewAI 14 tools — connect in under 2 minutes

Name: Zenoti
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 14 Tools Framework

Connect your CrewAI agents to Zenoti through Vinkius, pass the Edge URL in the `mcps` parameter and every Zenoti tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Zenoti Specialist",
    goal="Help users interact with Zenoti effectively",
    backstory=(
        "You are an expert at leveraging Zenoti tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Zenoti "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 14 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, Zenoti becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Zenoti tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Zenoti MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 14 tools from Zenoti

Why Use CrewAI with the Zenoti MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Zenoti through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Zenoti + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Zenoti MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Zenoti for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Zenoti, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Zenoti tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Zenoti against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Zenoti MCP Tools for CrewAI (14)

These 14 tools become available when you connect Zenoti to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Zenoti to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Zenoti + CrewAI FAQ

Common questions about integrating Zenoti MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.