How to Use the Zenoti MCP in Mastra AI

Q: How does Zenoti work with Mastra AI for scheduling?

Mastra AI lets you create workflows around getappointment. For example, a workflow could check the appointment status; if it's confirmed, it moves to updating the guest profile via searchguests.

Q: What if Zenoti services are unavailable with Mastra AI?

The agent handles this gracefully. If listservices returns an error or no data, the workflow can automatically pivot and check for available staff via listtherapists instead.

Build complex, reliable Zenoti workflows with Mastra AI.

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Connect Zenoti MCP to Mastra AI

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

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Setup Zenoti with Mastra AI

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Perplexity

Handling multi-step billing processes

If a transaction fails, the agent doesn't quit. Use `list_invoices` and then build a workflow that attempts to retry payment using different methods until it succeeds or hits a defined failure point. This structured process ensures that complex financial operations, like analyzing revenue from `list_invoices`, are handled reliably with exponential backoff.

Managing employee schedules and payroll data

You can build an agent workflow that first pulls all employee roles using `list_employees`. If a specific role is missing, the flow triggers an alert to an admin endpoint. The process continues by checking commission structures before finalizing any report based on this MCP Server's data.

Automating service and package checks

A workflow can check if a requested service is available using `list_services`. If it's booked, the next step calls `list_packages` to suggest an alternative bundle. This conditional logic makes sure your agent suggests valid alternatives before ever failing.

Setup guide

Set up Zenoti MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Zenoti tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "zenoti-mcp-client",
  servers: {
    "zenoti-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Zenoti Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Zenoti tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Zenoti transactions"
);
console.log(result.text);

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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.

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Common questions about Zenoti MCP in Mastra AI

Mastra AI lets you create workflows around `get_appointment`. For example, a workflow could check the appointment status; if it's confirmed, it moves to updating the guest profile via `search_guests`.

Yes. You can build reliable workflows that first list available memberships using `list_memberships`, and if a client doesn't qualify, the workflow automatically suggests purchasing gift cards via `list_gift_cards`.

The agent handles this gracefully. If `list_services` returns an error or no data, the workflow can automatically pivot and check for available staff via `list_therapists` instead.

The server handles authentication tokens. Because you're running complex workflows, every step—from checking `get_guest` data to updating an invoice—uses the established secure endpoint token.

This server touches Guest Profile and Appointment Details. Because workflows process these records, it's critical that your retry logic accounts for data sensitivity.

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