HirePOS MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 17 tools to Check Hirepos Status, Check Item Availability, Create Customer, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect HirePOS through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The HirePOS app connector for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using HirePOS, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every HirePOS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 17 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to wire HirePOS into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the HirePOS MCP Server
Vercel AI SDK provides unique advantages when paired with HirePOS through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same HirePOS integration everywhere
Built-in streaming UI primitives let you display HirePOS tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
HirePOS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the HirePOS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query HirePOS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate HirePOS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed HirePOS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with HirePOS through natural language queries
Example Prompts for HirePOS in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting HirePOS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHirePOS + Vercel AI SDK FAQ
Common questions about integrating HirePOS MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.