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Vinkius

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

Built by Vinkius GDPR 14 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Zenoti through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "zenoti": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Zenoti Agent",
    instructions:
      "You help users interact with Zenoti " +
      "using 14 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Zenoti?"
  );
  console.log(result.text);
}

main();
Zenoti
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Zenoti tool infrastructure. Connect 14 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Zenoti MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 14 tools from Zenoti via MCP

Why Use Mastra AI with the Zenoti MCP Server

Mastra AI provides unique advantages when paired with Zenoti through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Zenoti without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Zenoti tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Zenoti + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Zenoti, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Zenoti as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Zenoti on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Zenoti tools alongside other MCP servers

Zenoti MCP Tools for Mastra AI (14)

These 14 tools become available when you connect Zenoti to Mastra AI via MCP:

01

get_appointment

Get appointment details

02

get_center

Get center details

03

get_guest

Get guest profile

04

get_guest_loyalty

Get guest loyalty points

05

list_appointments

Filter by date to see a specific day. List spa/salon appointments

06

list_centers

Includes name, address, timezone, and operating hours. Essential for multi-location spa chains like Massage Envy. List spa/salon locations

07

list_employees

Includes role, schedule, payroll info, and commission structure. List all employees

08

list_gift_cards

Filter by guest to see a specific person's cards. List gift cards

09

list_invoices

Filter by date range for revenue analysis. List sales and invoices

10

list_memberships

Shows pricing, included services, visit limits, and perks. List membership plans

11

list_packages

Shows included services and pricing. List service packages

12

list_services

Includes pricing, duration, category, and required room type. List spa/salon services

13

list_therapists

List therapists and providers

14

search_guests

Returns profile, visit history, loyalty points, preferred therapist, and product preferences. Search spa/salon guests

Example Prompts for Zenoti in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Zenoti immediately.

01

"Show today's appointments at the downtown center."

02

"Find the profile for guest Maria Gonzalez and check her loyalty points."

03

"What is the total revenue collected across all centers today?"

Troubleshooting Zenoti MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Zenoti + Mastra AI FAQ

Common questions about integrating Zenoti MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Zenoti to Mastra AI

Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.