How to Use the Microsoft App Store MCP in Vercel AI SDK

Stream your Microsoft App Store submission data directly into your Vercel AI SDK frontends for live, zero-latency updates.

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Connect Microsoft App Store MCP to Vercel AI SDK

Create your Vinkius account to connect Microsoft App Store to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Microsoft App Store with Vercel AI SDK

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Real-time submission monitoring

Feed your UI live status updates by hooking `list_submissions` directly into your stream. Your users see the exact state of their app pipeline as it happens, without waiting on stale polling cycles. This MCP Server pushes raw data into your React or Next.js components. Use the results to trigger immediate visual feedback while the backend processes your request.

Application portfolio management

Query your entire catalog with `list_applications` to build dynamic dashboards. You get a clean list of every app in your account, ready for immediate rendering in your browser. Stop hardcoding app IDs. Map these results to your interface elements so users can select their target product from a live-populated dropdown menu.

Granular flight status tracking

Expose `list_flights` and `get_flight` to your agent to track package rollouts. Your AI client pulls the latest metadata, showing users exactly which flight is currently live. It handles the heavy lifting of parsing store responses. You just pass the data into your generator, and the AI handles the rest of the display logic.

Setup guide

Set up Microsoft App Store MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Microsoft App Store tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Microsoft App Store transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Microsoft App Store now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Microsoft App Store MCP in Vercel AI SDK

Yes, it connects over HTTP. Just install the MCP package, point it to the server URL, and pass the tools into your streamText function.

Use an authProvider when initializing the client. This keeps your sensitive tokens out of your frontend code and handles the handshake securely.

Absolutely. You can bundle the entire toolset into your agent's config. It will pick the right tool based on the user's natural language prompt.

The MCP client throws an error you can catch in your stream handler. You should implement a standard try-catch block around your tool invocation.

It only accesses the specific submission metadata you explicitly request. Your data stays between your authenticated agent and the store API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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