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Google Analytics 4 MCP Server for AutoGenGive AutoGen instant access to 12 tools to Batch Run Reports, Check Compatibility, Get Conversions, and more

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Google Analytics 4 as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this App Connector for AutoGen

The Google Analytics 4 app connector for AutoGen 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

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="google_analytics_4_agent",
            tools=tools,
            system_message=(
                "You help users with Google Analytics 4. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Google Analytics 4
Fully ManagedVinkius Servers
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Google Analytics 4 tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen

When AutoGen 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 AutoGen via MCP

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

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 12 tools from Google Analytics 4 automatically

Why Use AutoGen with the Google Analytics 4 MCP Server

AutoGen provides unique advantages when paired with Google Analytics 4 through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Google Analytics 4 tools to solve complex tasks

02

Role-based architecture lets you assign Google Analytics 4 tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Google Analytics 4 tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Google Analytics 4 tool responses in an isolated environment

Google Analytics 4 + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Google Analytics 4 MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Google Analytics 4 while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Google Analytics 4, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Google Analytics 4 data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Google Analytics 4 responses in a sandboxed execution environment

Example Prompts for Google Analytics 4 in AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Google Analytics 4 + AutoGen FAQ

Common questions about integrating Google Analytics 4 MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Google Analytics 4 tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.