Bring Reservation Management
to Vercel AI SDK
Learn how to connect HQBeds to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Token from your HQBeds dashboard (Settings > Integrations)
3. Start orchestrating your hospitality growth from Claude, Cursor, or any MCP client
No more manual checking of availability calendars or missing guest check-in times. Your AI acts as your dedicated front-desk coordinator and PMS architect.
Who is this for?
- Hostel & Hotel Managers — instantly retrieve booking summaries and monitor occupancy using natural language commands
- Reception Leads — verify individual guest metadata and track payment history without leaving your creative workspace
- Developers — integrate high-speed HQBeds data into custom hospitality apps through simple AI queries
Built-in capabilities (10)
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
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same HQBeds integration everywhere
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Built-in streaming UI primitives let you display HQBeds tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
HQBeds in Vercel AI SDK
HQBeds and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect HQBeds to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for HQBeds in Vercel AI SDK
The HQBeds 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
HQBeds for Vercel AI SDK
Every tool call from Vercel AI SDK to the HQBeds MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my HQBeds API key?
Log in to your HQBeds dashboard, navigate to Settings > Integrations, and copy your API key from the credentials section.
Can my AI agent check room availability?
Absolutely. Use the list_availability tool to retrieve real-time availability across all rooms for any date range.
How do I create a new reservation?
Use the create_reservation tool with guest name, room ID, check-in and check-out dates. Your agent handles the rest automatically.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp