Cloudbeds MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cloudbeds through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Cloudbeds, 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 Cloudbeds MCP Server
Connect your Cloudbeds property to any AI agent and run your hotel from a single conversation.
The Vercel AI SDK gives every Cloudbeds 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
- Reservations — Browse, filter by status, and drill into booking details
- Guests — Search profiles, view stay history and lifetime value
- Rooms & Housekeeping — Real-time room status and cleaning priorities
- Availability — Check open rooms for any date range instantly
- Transactions — Track charges, payments, and guest balances
- Dashboard — Today's KPIs: occupancy, revenue, ADR, check-ins/outs
The Cloudbeds 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.
How to Connect Cloudbeds to Vercel AI SDK via MCP
Follow these steps to integrate the Cloudbeds MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Cloudbeds and passes them to the LLM
Why Use Vercel AI SDK with the Cloudbeds MCP Server
Vercel AI SDK provides unique advantages when paired with Cloudbeds 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 Cloudbeds integration everywhere
Built-in streaming UI primitives let you display Cloudbeds 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
Cloudbeds + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cloudbeds MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cloudbeds in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cloudbeds tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cloudbeds capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cloudbeds through natural language queries
Cloudbeds MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Cloudbeds to Vercel AI SDK via MCP:
check_availability
Essential for booking inquiries and revenue management. Check room availability
get_dashboard
The GM's morning briefing. Get property dashboard
get_guest
Get guest profile
get_housekeeping
For housekeeping management. Get housekeeping status
get_reservation
Get reservation details
list_reservations
Filter by status: confirmed, checked_in, checked_out, cancelled. Core front-desk tool. List hotel reservations
list_room_types
With max occupancy, amenities, base rate, and room count. List room types
list_rooms
List hotel rooms
list_transactions
Filter by reservation to see a guest's complete financial history. List financial transactions
search_guests
Returns profile, contact, nationality, past stays, preferences, and lifetime value. Search hotel guests
Example Prompts for Cloudbeds in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cloudbeds immediately.
"What's our occupancy and revenue for today?"
"List dirty rooms pending turnover for the afternoon layout."
"Find the ongoing reservation of Mr. Anderson."
Troubleshooting Cloudbeds MCP Server with Vercel AI SDK
Common issues when connecting Cloudbeds to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCloudbeds + Vercel AI SDK FAQ
Common questions about integrating Cloudbeds 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.Connect Cloudbeds with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cloudbeds to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.