How to Use the HirePOS MCP in Mastra AI

Q: How do I add HirePOS tools to a Mastra AI agent?

Install @mastra/mcp and instantiate the MCPClient pointing to your Vinkius MCP Server URL. Call mcpClient.listTools() and spread the resulting tools directly into your agent's configuration object.

Q: Can Mastra AI automatically retry a failed HirePOS booking?

Yes. If createhire fails due to an API timeout, Mastra AI uses its built-in workflow engine to execute automatic retries with exponential backoff.

Q: How does Mastra AI handle human approvals for HirePOS invoices?

You can configure requireToolApproval on the agent when it attempts to call getinvoice or generate billing records. The agent pauses the workflow, waits for your team to review the details, and resumes only after receiving a manual sign-off.

Q: Can I use this MCP Server to sync customer records?

The createcustomer tool lets your agent write new account profiles directly to your CRM during checkout. Mastra AI workflows can chain this action right before initiating a booking to keep your database synchronized.

Automate complex HirePOS rental workflows with Mastra AI agents that handle retries and conditional booking logic.

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Connect HirePOS MCP to Mastra AI

Create your Vinkius account to connect HirePOS 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 HirePOS with Mastra AI

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Build Resilient Workflows with this MCP Server

The `create_hire` tool acts as the core of your automated booking pipelines. Mastra AI wraps this tool in a workflow engine, automatically retrying the API call if a temporary network blip occurs during a customer checkout. If the booking fails repeatedly, the workflow branches. The agent automatically runs `check_hirepos_status` to diagnose the connection before alerting your team, ensuring transient errors don't stall your operations.

Automate Late Fee Enforcement via Mastra AI

The `list_overdue_hires` tool flags late equipment returns automatically every morning. Your Mastra AI agent uses this list to trigger a multi-step workflow that calculates late fees and drafts follow-up emails. Before sending any payment demands, the workflow calls `get_invoice` to check the current billing state. This human-in-the-loop step requires admin approval before the agent finalizes the penalty invoice, protecting customer goodwill.

Intelligent Inventory Rebalancing with Mastra AI

The `list_items_by_category` tool lets your agent audit stock levels across different rental divisions. Mastra AI runs these audits on a schedule, mapping out which equipment categories are running low. When stock drops below critical thresholds, the agent uses `list_availability` to find alternative items. It then queues up recommendations for your yard managers, keeping your rental fleet balanced without manual oversight.

Setup guide

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

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

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

Install `@mastra/mcp` and instantiate the `MCPClient` pointing to your Vinkius MCP Server URL. Call `mcpClient.listTools()` and spread the resulting tools directly into your agent's configuration object.

Yes. If `create_hire` fails due to an API timeout, Mastra AI uses its built-in workflow engine to execute automatic retries with exponential backoff.

You can configure `requireToolApproval` on the agent when it attempts to call `get_invoice` or generate billing records. The agent pauses the workflow, waits for your team to review the details, and resumes only after receiving a manual sign-off.

The `create_customer` tool lets your agent write new account profiles directly to your CRM during checkout. Mastra AI workflows can chain this action right before initiating a booking to keep your database synchronized.

Vinkius processes all requests through an ephemeral, zero-trust MCP Server sandbox. This means your inventory details from `list_items` and customer records from `get_customer` pass through without being stored or logged on the host server.

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