HQBeds MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Hqbeds Status, Create Reservation, Get Account, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect HQBeds 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 HQBeds app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 10 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 HQBeds, 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 HQBeds MCP Server
Connect your HQBeds account to any AI agent and take full control of your property management system (PMS) and automated hostel/hotel operations through natural conversation.
The Vercel AI SDK gives every HQBeds tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Reservation Portfolio Orchestration — List and manage all property reservations programmatically, retrieving detailed stay metadata and payment statuses
- Guest & Customer Intelligence — Programmatically retrieve directories of guests and access complete profiles and check-in history in real-time
- Room & Inventory Architecture — Access your complete directory of rooms and availability to coordinate your organizational resource allocation
- Operational Monitoring — Access real-time status updates for check-ins/outs and track property performance directly through your agent for instant reporting
- Infrastructure Verification — Verify account-level API connectivity and monitor booking volume directly through your agent for perfectly coordinated service scaling
The HQBeds MCP Server exposes 10 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 10 HQBeds tools available for Vercel AI SDK
When Vercel AI SDK connects to HQBeds through Vinkius, your AI agent gets direct access to every tool listed below — spanning reservation-management, hostel-management, occupancy-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 HQBeds API connectivity
Create a reservation
Get account info
Get guest details
Get reservation details
Get room details
Use ISO 8601 dates. Check room availability
List all guests
List all reservations
List all rooms
Connect HQBeds to Vercel AI SDK via MCP
Follow these steps to wire HQBeds 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 HQBeds MCP Server
Vercel AI SDK provides unique advantages when paired with HQBeds 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 HQBeds integration everywhere
Built-in streaming UI primitives let you display HQBeds 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
HQBeds + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the HQBeds MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query HQBeds in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate HQBeds tools and return structured JSON responses to any frontend
Chatbots with tool use: embed HQBeds capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with HQBeds through natural language queries
Example Prompts for HQBeds in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with HQBeds immediately.
"List all reservations checking in today."
"Show room availability for this weekend."
"Create a reservation for Maria Silva, Room 205, checking in May 10 and out May 12."
Troubleshooting HQBeds MCP Server with Vercel AI SDK
Common issues when connecting HQBeds to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHQBeds + Vercel AI SDK FAQ
Common questions about integrating HQBeds 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.