2,500+ MCP servers ready to use
Vinkius

Kyte MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kyte through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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

main();
Kyte
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Kyte MCP Server

Connect your AI agent to Kyte, the mobile-first POS system designed for small businesses to manage inventory and sales anywhere.

The Vercel AI SDK gives every Kyte 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.

Key Features

  • Catalog Auditing — List all products and categories to maintain your digital storefront
  • Order Tracking — Access and monitor sales orders, status updates, and customer history
  • Inventory Management — Check stock levels in real-time to prevent sell-outs
  • Customer CRM — View profiles and transaction history for your store's buyers
  • Financial Visibility — List transactions and casher logs to monitor store performance

Simple Setup

1. Subscribe to this server
2. Log in to Kyte, go to Settings > API, and generate an API Key
3. Enter your key in the configuration panel
4. Start managing your store via natural language

The Kyte 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 Kyte to Vercel AI SDK via MCP

Follow these steps to integrate the Kyte MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Kyte and passes them to the LLM

Why Use Vercel AI SDK with the Kyte MCP Server

Vercel AI SDK provides unique advantages when paired with Kyte through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kyte integration everywhere

03

Built-in streaming UI primitives let you display Kyte tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Kyte + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Kyte MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Kyte to Vercel AI SDK via MCP:

01

get_customer_profile

Get details for a specific customer

02

get_inventory_status

Check current inventory levels

03

get_kyte_store_status

Get current store operational status

04

get_order_details

Get details for a specific order

05

get_product_details

Get details for a specific product

06

list_financial_transactions

List financial transactions

07

list_kyte_customers

List store customers

08

list_kyte_orders

Use this to audit recent transactions and delivery statuses. List recent store orders

09

list_kyte_products

Returns product IDs, names, and current prices. List all products in the store

10

list_product_categories

List product categories

Example Prompts for Kyte in Vercel AI SDK

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

01

"List all products in my Kyte store"

02

"Show the last 5 orders"

03

"Which products are low on stock?"

Troubleshooting Kyte MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Kyte + Vercel AI SDK FAQ

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

01

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.
02

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.
03

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.

Connect Kyte to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.