HirePOS MCP Server for Mastra AIGive Mastra AI instant access to 17 tools to Check Hirepos Status, Check Item Availability, Create Customer, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect HirePOS through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The HirePOS app connector for Mastra AI is a standout in the Ecommerce category — giving your AI agent 17 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"hirepos": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "HirePOS Agent",
instructions:
"You help users interact with HirePOS " +
"using 17 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with HirePOS?"
);
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 HirePOS MCP Server
Connect your HirePOS account to any AI agent and manage your equipment rental business through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and HirePOS tool infrastructure. Connect 17 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
- Booking Management — List all rental hires, create new bookings, filter by status (active, returned, pending, overdue)
- Inventory Control — Browse all rental items with rates and categories, check availability for date ranges, and filter by category
- Customer Database — List all customers, inspect profiles with rental history, and create new customer records
- Invoice Processing — Browse all invoices with amounts and payment status, and inspect individual invoice line items
- Overdue Tracking — Identify all rentals past their return date for immediate follow-up
- Category Management — Browse all rental item categories for organized inventory
The HirePOS MCP Server exposes 17 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.
All 17 HirePOS tools available for Mastra AI
When Mastra AI connects to HirePOS through Vinkius, your AI agent gets direct access to every tool listed below — spanning equipment-rental, booking-management, inventory-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Check item availability
Create a customer
Create a booking
Get customer details
Get hire details
Get invoice details
Get item details
List availability
List categories
List customers
List all hires
Filter hires by status
List invoices
List inventory items
Filter items by category
List overdue hires
Connect HirePOS to Mastra AI via MCP
Follow these steps to wire HirePOS into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the HirePOS MCP Server
Mastra AI provides unique advantages when paired with HirePOS through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add HirePOS 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 HirePOS 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
HirePOS + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the HirePOS MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query HirePOS, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed HirePOS as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query HirePOS on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using HirePOS tools alongside other MCP servers
Example Prompts for HirePOS in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with HirePOS immediately.
"Show all overdue rentals and the customer details for each."
"Check if the pressure washer is available next week and create a booking for BuildCo."
"List all invoices with unpaid status and the rental items from the 'Power Tools' category."
Troubleshooting HirePOS MCP Server with Mastra AI
Common issues when connecting HirePOS to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpHirePOS + Mastra AI FAQ
Common questions about integrating HirePOS 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.