How to Use the Google Analytics 4 MCP in Vercel AI SDK

Stream Google Analytics 4 data directly into your UI components with the Vercel AI SDK for live, event-driven user insights.

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Connect Google Analytics 4 MCP to Vercel AI SDK

Create your Vinkius account to connect Google Analytics 4 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 Analytics 4 with Vercel AI SDK

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Real-time traffic monitoring for AI-sdk

Stop waiting for static dashboards to refresh. Your AI client pulls live event streams using `run_realtime_report` to show your users exactly what is happening on their site right now. This gives your interface the ability to display live visitor counts and active page paths as they happen. It turns a stale dashboard into a dynamic, living view of site activity.

Automated page performance tracking

Feed your UI precise metrics on top-performing content by executing `get_page_views`. Your code processes these results instantly to update rankings or highlight trending articles without manual intervention. Your application handles the data flow, letting the AI client identify which assets drive the most traffic. It keeps your front-end content fresh based on actual visitor behavior.

Deep conversion analysis via MCP Server

Connect your application to granular conversion data using `get_conversions`. This MCP Server delivers the exact numbers you need to render charts or success metrics directly in your React or Svelte views. Your users get immediate feedback on goal completions without leaving the app. It makes tracking business outcomes as simple as calling a single function in your stream.

Setup guide

Set up Google Analytics 4 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 Analytics 4 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 Analytics 4 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 Analytics 4. 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 Google Analytics 4 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 Google Analytics 4 MCP in Vercel AI SDK

Install the MCP client packages and point your transport to the Vinkius endpoint. You then pass the tools to your streamText function to allow the AI to query your GA4 property directly.

Yes, it streams tool results in real-time. You can map the output of `run_realtime_report` to your UI components as the data arrives, eliminating loading spinners.

It does, provided your network allows the connection to the MCP endpoint. Keep your API calls efficient to stay within your execution limits.

Use the authProvider configuration within your MCP client setup. This ensures your credentials for the data API are passed securely during the handshake.

The server treats your property IDs and event data as ephemeral transit. No data is stored on Vinkius, and the connection uses your own authenticated token for every request.

Use it with your favorite AI tools

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