How to Use the Google Analytics 4 MCP in Mastra AI

Q: Can I use Google Analytics 4 to trigger Mastra AI workflows?

You can set up a periodic agent to check runrealtimereport data. If metrics cross your threshold, the agent initiates a sequence of actions like sending alerts.

Build resilient data workflows with Mastra AI and the Google Analytics 4 MCP Server.

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Connect Google Analytics 4 MCP to Mastra AI

Create your Vinkius account to connect Google Analytics 4 to Mastra AI 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 Mastra AI

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Automated traffic source reporting

Create agents that trigger `get_traffic_sources` whenever your workflow hits a specific state. Mastra AI handles the logic, ensuring your agents always know where your visitors originate. If a traffic spike occurs, your agent can automatically branch to a reporting task. It allows you to build self-healing pipelines that adjust to your marketing performance.

Conditional audience export management

Use `list_audience_exports` to feed your agent the latest segments for targeted tasks. You can set up logic to retry failed exports automatically if the API returns a timeout. This keeps your multi-step workflows moving without manual oversight. Your agent identifies the right audience and proceeds with the next step in your sequence.

Reliable MCP Server execution

Mastra AI manages every interaction with `run_report` using built-in retries. If the GA4 API is busy, the agent waits and tries again before moving to the next task in your chain. It ensures your strategic planning remains on track regardless of temporary network hiccups. You get stable data delivery for your most complex operational workflows.

Setup guide

Set up Google Analytics 4 MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Google Analytics 4 tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "google-analytics-4-mcp-client",
  servers: {
    "google-analytics-4-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Google Analytics 4 Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Google Analytics 4 tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Google Analytics 4 transactions"
);
console.log(result.text);

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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.

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Common questions about Google Analytics 4 MCP in Mastra AI

It uses the built-in workflow engine to detect failures in tool execution. If a call like `run_report` fails, the agent automatically retries based on your defined backoff policy.

You can set up a periodic agent to check `run_realtime_report` data. If metrics cross your threshold, the agent initiates a sequence of actions like sending alerts.

Yes, you can enable human-in-the-loop for any tool in this MCP server. This requires you to sign off before the agent executes sensitive queries.

Add the server URL to your agent's configuration object. The framework automatically detects the tool definitions, allowing you to spread them into your agent's toolset.

All demographic data is processed in memory during the agent's task execution. The MCP server does not persist your property information or user data between requests.

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