AppFollow MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AppFollow through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 AppFollow, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 AppFollow MCP Server
The AppFollow MCP Server brings powerful app store intelligence directly to your AI agent. Monitor your app's reputation, track your position in the charts, and analyze user feedback across all major app stores with ease.
The Vercel AI SDK gives every AppFollow tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Review Management — List and search for user reviews across different countries and languages.
- AI & Sentiment Analysis — Get AI-generated summaries of user feedback and analyze the overall sentiment of your reviews.
- Ranking Tracker — Monitor your app's performance in store charts and track daily changes in visibility.
- Rating Metrics — Access current star rating distributions and historical rating trends over time.
- App Information — Retrieve detailed metadata and store information for any app on the market.
- Competitive Benchmarking — Compare your app's performance against competitors using global store data.
Benefits for Teams
- Customer Support — Quickly identify common user issues and bugs reported in reviews.
- Product Managers — Use AI summaries to understand user sentiment and prioritize feature requests.
- Growth & Marketing — Track rankings and ratings to measure the effectiveness of your ASO and UA efforts.
The AppFollow MCP Server exposes 8 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 AppFollow to Vercel AI SDK via MCP
Follow these steps to integrate the AppFollow MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from AppFollow and passes them to the LLM
Why Use Vercel AI SDK with the AppFollow MCP Server
Vercel AI SDK provides unique advantages when paired with AppFollow through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same AppFollow integration everywhere
Built-in streaming UI primitives let you display AppFollow tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
AppFollow + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AppFollow MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AppFollow in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AppFollow tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AppFollow capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AppFollow through natural language queries
AppFollow MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect AppFollow to Vercel AI SDK via MCP:
get_account_check
Verify AppFollow account connection
get_app_info
Retrieve basic information about an app from AppFollow
get_rankings
Track app rankings in store charts
get_ratings
Get current star rating distribution
get_ratings_history
Get historical rating data over a period of time
get_reviews_ai_summary
Get an AI-generated summary of recent user reviews
get_reviews_summary
Get a summary of reviews and average rating
list_reviews
List app reviews for a specific app store product
Example Prompts for AppFollow in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AppFollow immediately.
"What are the most recent 1-star reviews for my app?"
"Give me an AI summary of user feedback for 'com.example.app'."
"Where does my app rank in the 'Health & Fitness' category in the US today?"
Troubleshooting AppFollow MCP Server with Vercel AI SDK
Common issues when connecting AppFollow to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAppFollow + Vercel AI SDK FAQ
Common questions about integrating AppFollow MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect AppFollow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AppFollow to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.