How to Use the Apple Search Ads MCP in Vercel AI SDK

Q: How do I connect the Apple Search Ads MCP Server to Vercel AI SDK?

Install @ai-sdk/mcp and call createMCPClient using the Vinkius HTTP URL. Pass the tools directly into streamText or generateText so your agent can pull search term data. Don't forget to call mcpClient.close() once the streaming session completes.

Q: Can Vercel AI SDK handle campaign report streams from Apple Search Ads?

Yes, you run getcampaignreport through the SDK's streaming text generation. The campaign metrics stream word-by-word, allowing your React components to display live charts as the data arrives.

Q: How do I handle authentication for multiple Apple Search Ads accounts?

Use the SDK's authProvider to pass user-specific tokens. The server validates the connection through getaccountcheck and getme to verify permissions before exposing any marketing data.

Feed live Apple Search Ads metrics directly into your Next.js frontend with Vercel AI SDK.

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Connect Apple Search Ads MCP to Vercel AI SDK

Create your Vinkius account to connect Apple Search Ads 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 Apple Search Ads with Vercel AI SDK

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Stream keyword reports directly to React with this MCP Server

This Apple Search Ads MCP Server pulls active performance data so your AI client can render live UI components. When you call `get_keyword_report` or `get_search_term_report`, Vercel AI SDK streams the raw numbers directly to your frontend components without waiting for a massive API payload to finish downloading. You build the interface, and your users watch the conversion rates and impressions populate in real-time. There are no loading spinners because the data chunks feed straight into your Next.js page as soon as Apple's API responds.

Track campaign statuses at the edge

This MCP Server connects your edge-running Vercel AI SDK client to Apple Search Ads campaign lists via `list_campaigns` and `get_campaign`. Your Vercel AI SDK application queries Apple's serverless endpoints directly from regional edge functions, dropping latency to near zero. If an Apple Search Ads campaign spikes in spend, your user-facing dashboard displays the update instantly. You write clean TypeScript that triggers these Apple Search Ads checks on demand, keeping your database out of the middleman role.

Render ad group breakdowns on the fly

This MCP Server exposes Apple Search Ads ad group structures and performance metrics through `list_ad_groups` and `get_ad_group_report` to your Vercel AI SDK frontend. Vercel AI SDK hooks into these tools to let your users ask questions about their ad structure and see the visual hierarchy update instantly. Your Next.js frontend maps the Apple Search Ads JSON response to native Tailwind components. Users get immediate feedback on which ad groups drag down their acquisition costs without refreshing the browser.

Setup guide

Set up Apple Search Ads 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 Apple Search Ads 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 Apple Search Ads 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 Apple Search Ads. 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 Apple Search Ads MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and call `createMCPClient` using the Vinkius HTTP URL. Pass the tools directly into `streamText` or `generateText` so your agent can pull search term data. Don't forget to call `mcpClient.close()` once the streaming session completes.

Yes, you run `get_campaign_report` through the SDK's streaming text generation. The campaign metrics stream word-by-word, allowing your React components to display live charts as the data arrives.

Yes, it runs in Vinkius's low-latency sandbox, meaning your Vercel AI SDK edge routes fetch campaign configurations via `get_campaign` without hitting cold starts or execution limits.

Use the SDK's `authProvider` to pass user-specific tokens. The server validates the connection through `get_account_check` and `get_me` to verify permissions before exposing any marketing data.

Your keyword reports and search terms stay encrypted. Vinkius runs the server in an ephemeral sandbox, passing raw metrics directly to your SDK client without logging the campaign details on our disks.

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