How to Use the Hipsy MCP in Mastra AI

Q: How do I connect the Hipsy MCP server to my Mastra AI agent?

Install the @mastra/mcp package and instantiate MCPClient with your Vinkius server URL. Then, pass the tools to your Mastra agent configuration. The client automatically handles authentication.

Q: Can I build a workflow with Hipsy and Mastra AI that requires human approval?

Yes, that's a core feature of Mastra. You can configure requireToolApproval on your agent for sensitive operations. For example, before processing a large refund based on data from getorder, the workflow can pause and wait for a person to confirm.

Q: How does Mastra AI handle fetching all orders for a large Hipsy event?

Your agent would use the listordersbyevent tool. Mastra's framework is designed to handle paginated API responses, so it can iterate through all the order pages automatically. You don't need to write the looping and pagination logic yourself.

Q: Is it possible to monitor multiple Hipsy organizations with Mastra AI?

Yes. Your workflow can start with listorganisations to get all the orgs you have access to. Then, it can iterate through each one, running other tools like listevents or getorganisation in the context of that specific organization.

Build reliable ticketing and event management automations on Hipsy with Mastra AI. Your workflows will handle errors and retries automatically.

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Connect Hipsy MCP to Mastra AI

Create your Vinkius account to connect Hipsy 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 Hipsy with Mastra AI

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Automate event financial reporting

Set up a Mastra AI workflow that runs daily. It can start by calling `list_upcoming_events` to get a list of all active events. Then, it can loop through each one. Inside the loop, the agent calls `get_event_revenue` and `get_scan_stats` for each event. Mastra's engine can automatically retry if an API call fails, and you can add a final step to send a summary report to a Slack channel or database.

Create workflows with this Mastra AI MCP Server

Mastra's power is conditional logic. You can build a workflow that checks order details with `get_order`. If the order looks suspicious, your agent can flag it for human review. You can also manage your integration's health. Have an agent periodically call `list_webhooks` to ensure your endpoints are configured correctly and `check_hipsy_status` to monitor API health. If anything is wrong, the workflow can trigger an alert.

Sync attendee data reliably

Use Mastra AI to build a workflow that syncs Hipsy attendees to an external CRM. The agent calls `list_attendees` for a specific event. The workflow engine handles pagination and rate limits for you. Because Mastra has automatic retries with exponential backoff, you don't have to worry about temporary network issues interrupting your sync. If a call to `list_attendees` or `get_order` fails, it just tries again. This makes your integration far more stable.

Setup guide

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

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

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

Install the `@mastra/mcp` package and instantiate `MCPClient` with your Vinkius server URL. Then, pass the tools to your Mastra agent configuration. The client automatically handles authentication.

Yes, that's a core feature of Mastra. You can configure `requireToolApproval` on your agent for sensitive operations. For example, before processing a large refund based on data from `get_order`, the workflow can pause and wait for a person to confirm.

Your agent would use the `list_orders_by_event` tool. Mastra's framework is designed to handle paginated API responses, so it can iterate through all the order pages automatically. You don't need to write the looping and pagination logic yourself.

Yes. Your workflow can start with `list_organisations` to get all the orgs you have access to. Then, it can iterate through each one, running other tools like `list_events` or `get_organisation` in the context of that specific organization.

The server processes only the data your workflow explicitly requests, like order details, attendee information, or event revenue. Vinkius provides a zero-trust, ephemeral environment for each tool call. Your Hipsy data is never stored or logged beyond the execution of your workflow.

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