Beds24 MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Beds24 through the 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 MCP SERVER
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 Beds24, 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 Beds24 MCP Server
Connect Beds24 to any AI agent — the ultra-flexible European channel manager.
The Vercel AI SDK gives every Beds24 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the 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
- Properties — All your properties with rooms and capacity
- Bookings — Reservations from all channels with guest details
- Calendar — Price, availability, and restrictions by day
- Availability — Real-time open/closed status per room
- Rooms — Room types, capacity, and channel mappings
The Beds24 MCP Server exposes 8 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 Beds24 to Vercel AI SDK via MCP
Follow these steps to integrate the Beds24 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 8 tools from Beds24 and passes them to the LLM
Why Use Vercel AI SDK with the Beds24 MCP Server
Vercel AI SDK provides unique advantages when paired with Beds24 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 Beds24 integration everywhere
Built-in streaming UI primitives let you display Beds24 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
Beds24 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Beds24 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Beds24 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Beds24 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Beds24 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Beds24 through natural language queries
Beds24 MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Beds24 to Vercel AI SDK via MCP:
get_account
Get account info
get_availability
Get room availability
get_booking
Get booking details
get_calendar
Get room calendar
get_property
Get property details
list_bookings
List bookings
list_properties
List properties
list_rooms
List rooms for property
Example Prompts for Beds24 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Beds24 immediately.
"Show me all bookings arriving this week"
"Adjust the price for the Ocean View Room to Euro 150 for next weekend."
"Generate a brief occupancy report for yesterday."
Troubleshooting Beds24 MCP Server with Vercel AI SDK
Common issues when connecting Beds24 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBeds24 + Vercel AI SDK FAQ
Common questions about integrating Beds24 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 Beds24 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.
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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 Beds24 to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.