How to Use the Vagaro MCP in Mastra AI

Q: Can I automate the flow of checking multiple Vagaro services using Mastra AI?

Yes. You can chain calls—for instance, first running getbusinessinfo, then listing all services with listservices. The workflow engine manages that sequence.

Q: What if I need to search clients in Vagaro using Mastra AI?

You use the searchclients tool. You'll get contact info and visit history, and the framework ensures that even if data is missing, your overall process continues.

Build robust business logic with Mastra AI. Handle failures and complex operations across Vagaro services.

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Connect Vagaro MCP to Mastra AI

Create your Vinkius account to connect Vagaro 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 Vagaro with Mastra AI

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Perplexity

Manage Appointments via MCP Server

Use `get_appointment` to pull specific appointment details right into a workflow. This is key for handling multi-step processes, like verifying if an appointment exists before booking a new one. Mastra AI's built-in retry logic means that if the first attempt fails—maybe due to network issues—the system automatically retries with exponential backoff.

Search Clients and Staff via Mastra AI

Need a client's details or staff availability? You can call `get_client` for profiles, or use `list_staff` to get names and roles. The agent framework handles these multiple lookups as part of one complex task. If searching clients fails, the workflow doesn't crash; it executes a defined fallback action instead.

List Retail or Service Products using Mastra AI

The framework lets you build logic around product data. Use `list_products` to check stock levels and prices, or use `list_services` for duration and categories. You can then implement a conditional step. For example: IF stock is low (from `list_products`), THEN notify the admin AND retry restocking later.

Setup guide

Set up Vagaro 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 Vagaro 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: "vagaro-mcp-client",
  servers: {
    "vagaro-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Vagaro 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 Vagaro. 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 Vagaro MCP in Mastra AI

It handles failure gracefully. If a payment attempt fails when processing an appointment, it automatically retries with different methods or notifies the admin immediately.

You're working with client records (contact info, visit history), staff scheduling, service pricing, and product inventory. The framework manages these diverse inputs robustly.

Yes. You can chain calls—for instance, first running `get_business_info`, then listing all services with `list_services`. The workflow engine manages that sequence.

It's built exactly for this. Its conditional branching means you can build workflows like: IF client is platinum tier, THEN apply discount X, ELSE proceed with standard payment.

You use the `search_clients` tool. You'll get contact info and visit history, and the framework ensures that even if data is missing, your overall process continues.

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