How to Use the AppGallery Connect MCP in Vercel AI SDK

Q: How do I stream AppGallery Connect download stats using the Vercel AI SDK?

You call getdownloadstats within the SDK's streamText function after initializing the MCP client. The tool outputs raw numbers which stream directly into your React components in real-time. Make sure to close the connection with mcpClient.close() when the stream ends.

Q: Can I use Vercel AI SDK to reply to AppGallery Connect reviews?

Yes, you build a live review moderation interface. Pass getcomments and replytocomment as tools into your Vercel AI SDK agent. The agent reads the reviews, drafts replies, and posts them directly to the store.

Q: Do I need to write custom API routes to check submission status?

No. By passing getsubmissionstatus directly to your agent, the MCP connection handles the API calls behind the scenes. Your app gets the status update instantly without manual route handlers.

Stream AppGallery Connect metrics and app review tools directly to your Next.js frontend with the Vercel AI SDK.

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Connect AppGallery Connect MCP to Vercel AI SDK

Create your Vinkius account to connect AppGallery Connect 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 AppGallery Connect with Vercel AI SDK

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Real-time AppGallery Connect streaming with Vercel AI SDK

The AppGallery Connect MCP Server lets you stop making users wait for heavy API roundtrips. Your UI streams the exact data from `get_install_stats` and `get_download_stats` directly onto the user's screen as the agent processes it. This setup runs perfectly inside Edge Functions. Your interface stays fast, rendering real-time Huawei store performance data without blocking the main thread or showing laggy loading spinners.

Live interactive review moderation in React

Moderating user reviews becomes an interactive experience with the `get_comments` and `reply_to_comment` tools. By connecting the Vercel AI SDK to these tools, your app displays incoming reviews and lets your agent write replies. The user sees the agent draft its responses word-by-word in your custom UI. You get a fast, responsive feedback loop that handles Huawei AppGallery reviews right from your web dashboard.

Direct asset uploads with Vercel AI SDK

The `get_upload_url` tool handles binary uploads and store submissions without writing backend middleware. Your agent grabs a pre-signed URL, allowing your React frontend to upload APKs or screenshots directly to AppGallery Connect. Once the files land safely, the agent triggers `submit_for_review` to push the update live. It is a clean, client-driven deployment flow that bypasses complex server setup.

Setup guide

Set up AppGallery Connect 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 AppGallery Connect 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 AppGallery Connect transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AppGallery Connect. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AppGallery Connect MCP in Vercel AI SDK

You call `get_download_stats` within the SDK's `streamText` function after initializing the MCP client. The tool outputs raw numbers which stream directly into your React components in real-time. Make sure to close the connection with `mcpClient.close()` when the stream ends.

Yes, you build a live review moderation interface. Pass `get_comments` and `reply_to_comment` as tools into your Vercel AI SDK agent. The agent reads the reviews, drafts replies, and posts them directly to the store.

Vinkius manages the authentication layer, so you do not expose API keys on the client side. Your Vercel AI SDK app connects to the hosted MCP endpoint using a single secured token, making it safe for Edge Functions.

No. By passing `get_submission_status` directly to your agent, the MCP connection handles the API calls behind the scenes. Your app gets the status update instantly without manual route handlers.

All app comments, download stats, and upload URLs are processed inside isolated V8 sandboxes. Vinkius operates on a zero-trust model, meaning your Huawei credentials and developer data are never stored or logged on disk.

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