Zenoti MCP Server for Mastra AI 14 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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();
* 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.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
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.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Zenoti without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Zenoti tool response with IDE autocomplete and compile-time checks
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.
Automated workflows: build multi-step agents that query Zenoti, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Zenoti as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Zenoti on a cron and store results in your database automatically
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:
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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Zenoti to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpZenoti + Mastra AI FAQ
Common questions about integrating Zenoti MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.
