Google Analytics 4

Name: Google Analytics 4
Author: stucchi

by stucchiversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.stucchi/google-analytics

Install

Overview

Description from the maker (original English)

Manage GA4 properties, data streams, conversions, and run reports via Admin & Data APIs.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 29/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: GA_CREDENTIALS, GA_CREDENTIALS_PATH

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "google-analytics": {
      "command": "uvx",
      "args": [
        "google-analytics-4-mcp"
      ],
      "env": {
        "GA_CREDENTIALS": "your-value",
        "GA_CREDENTIALS_PATH": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add google-analytics --env GA_CREDENTIALS=your-value --env GA_CREDENTIALS_PATH=your-value -- uvx google-analytics-4-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "google-analytics": {
      "command": "uvx",
      "args": [
        "google-analytics-4-mcp"
      ],
      "env": {
        "GA_CREDENTIALS": "your-value",
        "GA_CREDENTIALS_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "google-analytics": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "google-analytics-4-mcp"
      ],
      "env": {
        "GA_CREDENTIALS": "your-value",
        "GA_CREDENTIALS_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

GA_CREDENTIALS env
Google Service Account JSON key content (copy-paste the entire JSON)
GA_CREDENTIALS_PATH env
Alternative: path to the Service Account JSON key file

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account stucchi, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

More stars than 0% of the other 3593 servers in this category
Published to the registry more recently than 2% of the other 3593 servers in this category
Basic checks equal to or better than 100% of the other 3593 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Google Analytics 4 safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Google Analytics 4 MCP Server

MCP server for Google Analytics 4 — create properties, configure data streams, manage conversions, and run reports via the Admin & Data APIs.

Setup (one-time, ~3 minutes)

Google Cloud Console → IAM & Admin → Service Accounts

Create a service account (any name)
Click it → Keys → Add Key → JSON → Download

Enable APIs in your GCP project:

GA4 Admin → Property Access Management → Add the service account email (from the JSON) as Editor

Configure credentials (pick one):

Option A (recommended): Copy the JSON content into the GA_CREDENTIALS env var in your MCP config
Option B: Save the file to ~/.google-analytics-4-mcp/credentials.json

Done. No browser flow, no consent screen, no tokens to refresh.

Installation

Claude Code

claude mcp add google-analytics -e GA_CREDENTIALS='{"type":"service_account",...}' -- uvx google-analytics-4-mcp

Claude Desktop

Add to claude_desktop_config.json:

"mcpServers": { "google-analytics": { "command": "uvx", "args": ["google-analytics-4-mcp"], "env": { "GA_CREDENTIALS": "{\"type\":\"service_account\",\"project_id\":\"...\", ...}" } } } }

From source

git clone https://github.com/stucchi/mcp-google-analytics.git

cd mcp-google-analytics uv run google-analytics-4-mcp

Getting Started

Check auth: Call check_auth_status to verify the service account is configured
List accounts: Call list_accounts to see your GA4 accounts
Setup a property: Use create_property → create_web_data_stream → get_tracking_snippet
Query data: Use run_report with dimensions and metrics

Tools (23)

Auth

Tool	Description
`check_auth_status`	Verify service account is configured and valid

Admin API

Tool	Description
`list_accounts`	List accessible GA4 accounts
`list_properties`	List properties for an account
`create_property`	Create a GA4 property
`get_property`	Get property details
`delete_property`	Soft-delete a property
`list_data_streams`	List data streams
`create_web_data_stream`	Create web stream → get Measurement ID
`delete_data_stream`	Delete a data stream
`get_tracking_snippet`	Generate gtag.js HTML snippet
`list_key_events`	List conversion events
`create_key_event`	Mark event as conversion
`delete_key_event`	Remove conversion
`list_custom_dimensions`	List custom dimensions
`create_custom_dimension`	Create custom dimension
`list_custom_metrics`	List custom metrics
`create_custom_metric`	Create custom metric
`list_google_ads_links`	List Google Ads links
`create_google_ads_link`	Link Google Ads account
`get_measurement_protocol_secret`	Get/create Measurement Protocol secret

Data API

Tool	Description
`run_report`	Run report with dimensions, metrics, dates, filters
`run_realtime_report`	Real-time active users and events
`get_metadata`	List available dimensions and metrics

Environment Variables

Variable	Default	Description
`GA_CREDENTIALS`	—	Service Account JSON key content (copy-paste the entire JSON)
`GA_CREDENTIALS_PATH`	`~/.google-analytics-4-mcp/credentials.json`	Alternative: path to the JSON key file

GA_CREDENTIALS takes priority over GA_CREDENTIALS_PATH.

Example Usage

You: "Set up Google Analytics for my website https://mcpadvisor.stucchi.consulting"

Assistant calls: list_accounts → create_property → create_web_data_stream → get_tracking_snippet

Result: Property created with Measurement ID G-XXXXXXXXXX and ready-to-paste HTML snippet.

You: "Show me the top 10 countries by sessions in the last 7 days"

Assistant calls: run_report(property_id="...", dimensions=["country"], metrics=["sessions"], start_date="7daysAgo", limit=10)

License

MIT

Google Analytics 4

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

Google Analytics 4 MCP Server

Setup (one-time, ~3 minutes)

Installation

Claude Code

Claude Desktop

From source

Getting Started

Tools (23)

Auth

Admin API

Data API

Environment Variables

Example Usage

License