2,500+ MCP servers ready to use
Vinkius

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

main();
Appbot
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 Appbot MCP Server

The Appbot MCP Server provides deep insights into your app's user feedback. By connecting your Appbot account to your AI agent, you can programmatically retrieve reviews, analyze sentiment trends, and identify key topics from your iOS, Android, and other platform reviews using natural language.

The Vercel AI SDK gives every Appbot 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.

What you can do

  • Review Retrieval — List and filter reviews by app, sentiment, star rating, or specific keywords.
  • Sentiment Analysis — Quickly gauge the overall tone of user feedback (positive, negative, neutral, mixed).
  • Topic Identification — Discover common themes in your reviews with standard and custom topics.
  • Version Tracking — Monitor feedback for specific app versions to evaluate new releases.
  • Global Insights — Filter reviews by country and language to understand your global audience.

The Appbot 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 Appbot to Vercel AI SDK via MCP

Follow these steps to integrate the Appbot 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 Appbot and passes them to the LLM

Why Use Vercel AI SDK with the Appbot MCP Server

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

03

Built-in streaming UI primitives let you display Appbot 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

Appbot + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Appbot MCP Tools for Vercel AI SDK (10)

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

01

get_account_info

Retrieve Appbot account details and connection status

02

get_review_details

Get complete details for a single specific review

03

get_reviews_by_custom_topic

Retrieve reviews associated with a specific custom topic

04

list_apps

List all apps tracked by your team in Appbot

05

list_countries

List countries available for filtering reviews

06

list_custom_topics

List user-defined custom topics set up in the Appbot dashboard

07

list_languages

List all languages supported by Appbot for sentiment analysis

08

list_reviews

Use sentiment, starRating, or keyword filters to narrow down the results. Useful for sentiment analysis and bug reporting. List reviews for a specific app with optional filtering

09

list_topics

List standard topics identified in app reviews by Appbot AI

10

list_versions

List app versions detected in the app reviews

Example Prompts for Appbot in Vercel AI SDK

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

01

"List all my apps tracked in Appbot."

02

"Show me the last 10 negative reviews for the iOS app."

03

"What are the most common topics in recent reviews for my Android app?"

Troubleshooting Appbot MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Appbot + Vercel AI SDK FAQ

Common questions about integrating Appbot 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 Appbot to Vercel AI SDK

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