Smeetz MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Booking, Get Booking, Get Customer, and more

Name: Smeetz
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Smeetz 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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The Smeetz MCP Server for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript

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 Smeetz, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* 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 Smeetz MCP Server

Connect your Smeetz account to any AI agent to streamline your booking and commerce workflows through natural conversation.

The Vercel AI SDK gives every Smeetz tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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

Product Catalog — List all available products in your account and fetch detailed metadata for specific items using their unique IDs.
Booking Management — Create new bookings for specific products and dates, including ticket details and customer information, or retrieve existing booking statuses.
Customer Insights — Access your full customer list and retrieve detailed profiles to provide personalized service or analyze buyer behavior.
Real-time Queries — Get instant information on product availability and booking details without leaving your AI interface.

The Smeetz MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Smeetz tools available for Vercel AI SDK

When Vercel AI SDK connects to Smeetz through Vinkius, your AI agent gets direct access to every tool listed below — spanning ticketing, booking-management, unified-commerce, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create booking on Smeetz

Requires product ID, date, ticket details, and customer information. Create a new booking for a specific product and date

get

Get booking on Smeetz

Get detailed information about a specific booking

get

Get customer on Smeetz

Get detailed information about a specific customer

get

Get product on Smeetz

Get detailed information about a specific product

list

List customers on Smeetz

List all customers

list

List products on Smeetz

List all products available in your account

Connect Smeetz to Vercel AI SDK via MCP

Follow these steps to wire Smeetz into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 6 tools from Smeetz and passes them to the LLM

Why Use Vercel AI SDK with the Smeetz MCP Server

Vercel AI SDK provides unique advantages when paired with Smeetz 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 Smeetz integration everywhere

Built-in streaming UI primitives let you display Smeetz 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

Smeetz + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Smeetz MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Smeetz in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Smeetz tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Smeetz capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Smeetz through natural language queries

Example Prompts for Smeetz in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Smeetz immediately.

"List all products available in my Smeetz account."

"Get the details for booking ID 'BK-55221'."

"Create a booking for product 789 on 2025-01-15 for Alice Brown (alice@email.com)."

Troubleshooting Smeetz MCP Server with Vercel AI SDK

Common issues when connecting Smeetz to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Smeetz + Vercel AI SDK FAQ

Common questions about integrating Smeetz MCP Server with Vercel AI SDK.

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.