How to Use the Appbot MCP in Vercel AI SDK

Pull Appbot review data directly into your Vercel AI SDK frontends for real-time customer feedback visibility.

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Connect Appbot MCP to Vercel AI SDK

Create your Vinkius account to connect Appbot 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 Appbot with Vercel AI SDK

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Live review streaming for Vercel AI SDK

Stream review data straight into your UI components using `list_reviews` without waiting for backend bottlenecks. Your users see the latest feedback appearing instantly as the AI processes the stream. This MCP Server handles the connection logic while your app focuses on rendering the sentiment trends. You get raw data delivered to your edge functions the moment it hits the Appbot platform.

Filter customer feedback by app version

Isolate specific bug reports by passing version identifiers to `list_versions` and narrowing your scope with `list_reviews`. You stop digging through noise and start looking at the exact build causing trouble. Your interface displays filtered feedback based on the exact criteria you set in your TypeScript code. It keeps the data flow clean and relevant to the specific release you are testing.

Categorize topics with Appbot tools

Map user complaints to custom buckets by running `list_custom_topics` alongside standard tags from `list_topics`. You build dashboards that reflect your actual product taxonomy. Displaying these insights in your React or Svelte app gives your team immediate context on why ratings are moving. You don't guess what users want; you show the data.

Setup guide

Set up Appbot 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 Appbot 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 Appbot transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Appbot. 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.

Why Choose Vinkius

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

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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 Appbot MCP in Vercel AI SDK

You install the MCP package and point your client at the Vinkius endpoint. From there, you pass the available tools into your streamText configuration to start pulling review data.

Yes, it is built to run on the edge. You won't face latency issues when fetching review lists or account statuses during a request cycle.

Absolutely. Because tool results stream back to your frontend, you can update your state immediately. The user sees feedback updates in real-time.

You provide your endpoint token when initializing the client. This keeps your credentials out of your source code and secure in your environment variables.

Your app reviews are processed within a sandbox. The only data transmitted includes the text of the reviews and metadata needed to generate your sentiment reports.

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