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Kiwify MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Create Notification Webhook, Delete Notification Webhook, Get Account Summary, and more

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kiwify through 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 App Connector for Vercel AI SDK

The Kiwify app connector for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 9 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
Kiwify
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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 Kiwify MCP Server

Connect your Kiwify account to any AI agent and manage digital product sales through natural conversation.

The Vercel AI SDK gives every Kiwify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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 Management — List products, inspect details, and track sales performance
  • Order Tracking — Browse orders with status, amounts, and customer data
  • Subscription Monitoring — Track active subscriptions, renewals, and churn
  • Customer Database — List customers with purchase history and engagement
  • Revenue Analytics — Monitor sales metrics, refund rates, and trends

The Kiwify MCP Server exposes 9 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.

All 9 Kiwify tools available for Vercel AI SDK

When Vercel AI SDK connects to Kiwify through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-products, online-courses, order-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_notification_webhook

Create a new webhook

delete_notification_webhook

Remove an existing webhook

get_account_summary

Get account information

get_product_details

Get details for a specific product

get_sale_details

Get details for a specific sale

list_active_subscriptions

List recurring subscriptions

list_configured_webhooks

List your webhooks

list_products

List your Kiwify products

list_sales_history

Supports filtering. List recent sales and transactions

Connect Kiwify to Vercel AI SDK via MCP

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

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 9 tools from Kiwify and passes them to the LLM

Why Use Vercel AI SDK with the Kiwify MCP Server

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

03

Built-in streaming UI primitives let you display Kiwify 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

Kiwify + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Kiwify in Vercel AI SDK

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

01

"Show all products with sales performance and today's orders."

02

"Show active subscriptions and churn rate for this month."

03

"Show the customer database and top buyers."

Troubleshooting Kiwify MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Kiwify + Vercel AI SDK FAQ

Common questions about integrating Kiwify 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.