How to Use the Google Ads MCP in Vercel AI SDK

Stream real-time Google Ads metrics directly into your Vercel AI SDK interface without the loading spinners.

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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 data for AI-SDK

Feed your frontend live performance numbers by hooking `get_campaign_report` into your streamText calls. Your users see the data trickle in as the agent fetches it. This keeps your interface responsive. You avoid the lag of traditional API polling by letting your AI client handle the connection directly.

Drill into keywords with AI-SDK

Use `get_keyword_performance` to show users exactly which terms drive their conversion costs. You push this data into your UI state as it arrives from the server. It makes your dashboards feel alive. You aren't just showing static reports; you are showing the agent's work in progress.

Monitor account health via AI-SDK

Track recent account activity by invoking `get_change_status` within your edge functions. You get instant updates on what changed in your campaigns. This gives your users a clear view of their account history. It works perfectly within your existing TypeScript codebase.

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();

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 Google 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 Google Ads MCP in Vercel AI SDK

You connect the MCP server using the HTTP transport provided in the SDK. Once connected, you map the server tools to your agent's tool definition array.

You manage rate limits by controlling how often your agent invokes tools. The server executes your requests, but you define the frequency in your client logic.

Your customer IDs and campaign performance metrics stay encrypted during transit. The server only touches the specific data points your agent requests.

Yes, you can implement a manual verification step before the agent executes any tool. This ensures you control which modifications hit your account.

The MCP server is compatible with edge runtimes. You just need to ensure your environment variables for authentication are set correctly.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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