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Google Analytics 4 MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Batch Run Reports, Check Compatibility, Get Conversions, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Google Analytics 4 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this App Connector for Vercel AI SDK

The Google Analytics 4 app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Google Analytics 4, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Google Analytics 4
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Google Analytics 4 MCP Server

Connect your Google Analytics 4 property to any AI agent and access web analytics through natural conversation.

The Vercel AI SDK gives every Google Analytics 4 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Custom Reports — Run fully customizable GA4 reports with any combination of dimensions, metrics, and date ranges
  • Real-Time Analytics — Monitor active users and current page views in real time
  • Page Performance — Retrieve the top 25 pages ranked by views for any time period
  • Traffic Sources — Analyze session sources and mediums to understand where visitors come from
  • User Demographics — View user distribution by country for geographic insights
  • Device Breakdown — See user distribution across desktop, mobile, and tablet
  • Conversions — Track conversion events with counts and revenue data
  • Advanced Reporting — Run pivot reports and batch multiple reports in a single request
  • Metadata & Compatibility — List all available dimensions and metrics, and verify compatibility before building reports

The Google Analytics 4 MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Google Analytics 4 tools available for Vercel AI SDK

When Vercel AI SDK connects to Google Analytics 4 through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, event-tracking, conversion-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

batch_run_reports

Batch run reports

check_compatibility

Check report compatibility

get_conversions

Get conversions

get_device_breakdown

Get device breakdown

get_metadata

Get available dimensions and metrics

get_page_views

Get top pages by views

get_traffic_sources

Get traffic sources

get_user_demographics

Get user demographics

list_audience_exports

List audience exports

run_pivot_report

Run pivot report

run_realtime_report

Run realtime report

run_report

Data JSON must include dateRanges, dimensions, and metrics arrays. Run a custom report

Connect Google Analytics 4 to Vercel AI SDK via MCP

Follow these steps to wire Google Analytics 4 into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Google Analytics 4 and passes them to the LLM

Why Use Vercel AI SDK with the Google Analytics 4 MCP Server

Vercel AI SDK provides unique advantages when paired with Google Analytics 4 through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Google Analytics 4 integration everywhere

03

Built-in streaming UI primitives let you display Google Analytics 4 tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Google Analytics 4 + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Google Analytics 4 MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Google Analytics 4 in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Google Analytics 4 tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Google Analytics 4 capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Google Analytics 4 through natural language queries

Example Prompts for Google Analytics 4 in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Google Analytics 4 immediately.

01

"Show me the top 10 pages by views this month and where the traffic is coming from."

02

"How many conversions did we get this week and which pages drove them?"

03

"What devices are our users on and which countries are generating the most traffic?"

Troubleshooting Google Analytics 4 MCP Server with Vercel AI SDK

Common issues when connecting Google Analytics 4 to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Google Analytics 4 + Vercel AI SDK FAQ

Common questions about integrating Google Analytics 4 MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.