How to Use the Google Ads MCP in Vercel AI SDK

Q: Does this MCP Server help me manage Google Ads budget in Vercel AI SDK?

Yes. You can use getaccountbudget to pull current spending limits into your interface. This allows your app to display budget warnings before you hit your caps.

Q: Can I automate reporting with Google Ads and Vercel AI SDK?

You can trigger getperformancereport on a schedule within your edge functions. This automates the delivery of campaign insights to your users without manual intervention.

Stream your Google Ads performance data directly into your Vercel AI SDK interface for real-time campaign monitoring.

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Connect Google Ads MCP to Vercel AI SDK

Create your Vinkius account to connect Google 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 Google Ads with Vercel AI SDK

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Live Campaign Performance Tracking

Pipe live campaign metrics directly into your frontend components using `get_performance_report`. Stop waiting for dashboard refreshes and see your click and impression data stream as it happens. Your users gain immediate visibility into ad health within the UI. Use `get_campaign` to pull specific metadata for any active initiative without leaving your application state.

Instant Conversion Visibility

Surface conversion tracking points straight to your Vercel AI SDK dashboard with `list_conversion_actions`. You get the exact conversion names and counts needed to validate your ad spend. This MCP Server provides the raw data your UI needs to render charts or tables. You can monitor your conversion funnel and adjust your messaging based on actual user activity.

Granular Ad Group Auditing

Drill down into specific ad groups using `list_ad_groups` and `list_ads` to see what is actually running. This gives you complete transparency into your creative assets and ad group organization. Your AI client can now index these assets to provide better suggestions. Pair this with `list_keywords` to see how your targeting matches your current ad copy.

Setup guide

Set up Google 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 Google 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 Google Ads transactions",
});

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

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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

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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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 Google Ads MCP in Vercel AI SDK

Connect the server via HTTP transport to your client instance. Once linked, pass the tool definitions directly into your streaming functions to render campaign reports in real-time.

Yes. You can use `get_account_budget` to pull current spending limits into your interface. This allows your app to display budget warnings before you hit your caps.

You can list all active campaigns and filter them manually within your code. By using `list_campaigns`, your app handles the selection process before displaying the data.

All requests are scoped to your specific API token. The server only touches performance logs and campaign metadata, ensuring your private account configurations remain isolated.

You can trigger `get_performance_report` on a schedule within your edge functions. This automates the delivery of campaign insights to your users without manual intervention.

Use it with your favorite AI tools

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