How to Use the Appfigures MCP in Vercel AI SDK

Q: Can Vercel AI SDK handle multiple Appfigures accounts at once?

Yes, by calling getexternalaccounts to discover linked stores. Your frontend can then toggle between accounts, letting the AI fetch isolated metrics for different apps.

Feed Appfigures store ranks and download metrics directly into your Next.js UI in real-time using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Appfigures MCP to Vercel AI SDK

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

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Live Appfigures UI Streaming via Vercel AI SDK

Your users don't want to stare at a blank loading screen while your app fetches data. This MCP Server lets your AI client fetch live performance metrics using `get_revenue_report` and `get_sales_report` and render them instantly. Because Vercel AI SDK supports streaming UI components, the raw JSON converts into interactive charts on the fly. You get a live feed of downloads and proceeds without laggy API hops.

Track Rank Movements Instantly

Spotting store visibility trends requires quick lookups. The `get_ranks` tool pulls daily keyword positions and category standings directly into your edge-compatible routes. Your agent processes these trends instantly, flagging sudden drops or spikes for your marketing team. It handles high-volume rank checks without blowing up your serverless execution limits.

Monitor App Store Features and Reviews

Keep tabs on where your app gets spotlighted by the App Store editors. Running `list_featured` alongside `list_reviews` gives your agent the context it needs to analyze user sentiment. Customers see reviews pop up in the UI as the AI summarizes them in real-time. It makes building custom review moderation dashboards incredibly straightforward.

Setup guide

Set up Appfigures 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 Appfigures 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 Appfigures 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 Appfigures. 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.

Connect Appfigures 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 Appfigures MCP in Vercel AI SDK

Install the packages and use createMCPClient pointing to your Vinkius endpoint. Pass the tools directly into streamText or generateText to let your agent call them. Remember to call close when the session ends.

Yes, by calling `get_external_accounts` to discover linked stores. Your frontend can then toggle between accounts, letting the AI fetch isolated metrics for different apps.

It does. The MCP client uses standard HTTP transports, making it fully compatible with Vercel's edge runtime. You can fetch sales data via `get_sales_report` with minimal latency.

It streams tool calls directly to your React components. When the agent triggers `get_revenue_report`, the SDK sends the raw data to your custom chart component before the LLM finishes writing its text response.

Vinkius runs the server in a secure, ephemeral V8 sandbox. Your store revenue, download counts, and API tokens are never saved or cached on our servers; they only pass through to your Vercel AI SDK environment during active MCP tool executions.

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