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PopNx MCPMCP servers for people who use AI · explained in plain words

Google Analytics 4

by get-mcp-adsversion 2.1.1i★ –iRuns on your computer
Registry namecom.getmcpads/google-analytics

Install

Overview

Description from the maker (original English)

Google Analytics 4 MCP server: 27 read tools, no write tools.

PopNx MCP’s three pillars

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

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
  • You need to fill in: GA4_CLIENT_ID, GA4_CLIENT_SECRET, GA4_REFRESH_TOKEN

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: GA4_CLIENT_ID, GA4_CLIENT_SECRET, GA4_REFRESH_TOKEN, GA4_PROPERTY_ID, GA4_PROPERTY_IDS

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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": "npx",
      "args": [
        "-y",
        "@getmcpads/google-analytics-mcp-server"
      ],
      "env": {
        "GA4_CLIENT_ID": "your-value",
        "GA4_CLIENT_SECRET": "your-value",
        "GA4_REFRESH_TOKEN": "your-value",
        "GA4_PROPERTY_ID": "your-value",
        "GA4_PROPERTY_IDS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add google-analytics --env GA4_CLIENT_ID=your-value --env GA4_CLIENT_SECRET=your-value --env GA4_REFRESH_TOKEN=your-value --env GA4_PROPERTY_ID=your-value --env GA4_PROPERTY_IDS=your-value -- npx -y @getmcpads/google-analytics-mcp-server

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": "npx",
      "args": [
        "-y",
        "@getmcpads/google-analytics-mcp-server"
      ],
      "env": {
        "GA4_CLIENT_ID": "your-value",
        "GA4_CLIENT_SECRET": "your-value",
        "GA4_REFRESH_TOKEN": "your-value",
        "GA4_PROPERTY_ID": "your-value",
        "GA4_PROPERTY_IDS": "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": "npx",
      "args": [
        "-y",
        "@getmcpads/google-analytics-mcp-server"
      ],
      "env": {
        "GA4_CLIENT_ID": "your-value",
        "GA4_CLIENT_SECRET": "your-value",
        "GA4_REFRESH_TOKEN": "your-value",
        "GA4_PROPERTY_ID": "your-value",
        "GA4_PROPERTY_IDS": "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

  • GA4_CLIENT_ID required env
    OAuth client ID.
  • GA4_CLIENT_SECRET secret required env
    OAuth client secret.
  • GA4_REFRESH_TOKEN secret required env
    OAuth refresh token, analytics.readonly scope.
  • GA4_PROPERTY_ID env
    Default GA4 property ID.
  • GA4_PROPERTY_IDS env
    Comma-separated property IDs every tool is limited to. Optional in 2.x, required in 3.0.0.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain getmcpads.com (the registry checks domain ownership)

  • … 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 2969 servers in this category
  • Published to the registry more recently than 74% of the other 2969 servers in this category
  • Basic checks equal to or better than 100% of the other 2969 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?

You need to fill in: GA4_CLIENT_ID, GA4_CLIENT_SECRET, GA4_REFRESH_TOKEN

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 (2.1.1) reached the registry 11 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

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

Alternatives

Servers in the same category from other makers, sorted by stars.

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

An MCP server retrieving transcripts of YouTube videos

Runs on your computer★ 495MITUpdated 9 days ago
Install

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

Runs on your computer★ 244MITUpdated 9 days ago
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

Understand what happens after the click.

Explore traffic, conversions, funnels and property configuration through a read-only MCP server.

Watch the film · What's new · Install · Tool reference · Try hosted getmcpads

[Play the 45-second film](https://www.getmcpads.com/home/film/get-mcp-ads-brand-film-1080p.mp4)

The film shows hosted getmcpads with sample data. Its MCP Apps, from creative galleries and alerts to Google Sheets exports and bulk launches, belong to the hosted product. This repository provides the standalone native API tools.

27 read tools · Read-only by design.

Run locally with your own platform credentials and a client that supports stdio MCP, such as Claude Desktop, Claude Code or Cursor. Your requests go directly to the platform. For managed connections, including supported ChatGPT setups, use the hosted option.

What's new

[v2.1.1: Zod 4 security update](https://github.com/get-mcp-ads/google-analytics-mcp-server/releases/tag/v2.1.1) · October 26, 2026

  • Update zod to 4.6.7. Every Zod release before 4.6.6 is covered by the high-severity advisory GHSA-mrhx-c7xc-m3w5: validating an oversized constrained collection can exhaust memory, and no Zod 3 release carries the fix. npm audit --omit=dev reports no vulnerability again.
  • Keep the Zod 3 validation behaviour. A parameter default is still validated and completed before use, so an omitted object must still supply its required fields.
  • Keep each parameter's own description when the parameter is optional or has a default. Zod 4 stores a description on the wrapped schema only, so the shared fallback description could otherwise replace it.
  • Tool names, parameters and descriptions published over MCP are unchanged. server-card.json is regenerated with Zod 4's JSON Schema output, which spells some constraints differently.

Earlier releases

VersionDateHighlights
2.1.0October 23, 2026Property allowlist and revoked-token handling
2.0.1September 23, 2026Public repository restored
2.0.0September 20, 2026Gateway sync and security fixes
1.1.0September 13, 2026Platform capability sync and quality contracts
1.0.2August 30, 2026Announce the package version over MCP.
1.0.1August 30, 2026Add server.json and mcpName for the official MCP Registry, under com.getmcpads/google-analytics.
1.0.0August 29, 2026First open-source release

Full changelog · All releases

Source synchronization: SOURCE_SYNC.md.

Upgrade notes

Requires Node.js 22.23.4, 24.22.1 or 26.12.1, or a newer release of one of these lines. Older releases lack the October 2026 security fixes, and the server prints a warning on stderr when it starts on one. CI covers Node 22, 24 and 26.

This release makes no breaking change to the configuration. One change is announced for 3.0.0: GA4_PROPERTY_IDS is optional in 2.x and becomes required. When set, every tool is limited to the listed properties, and GA4_PROPERTY_ID must be one of them. When unset, the server starts as before and prints one line on stderr recommending it. The tools and their schemas are unchanged.

Install this release

This is a GitHub source release. npm and MCP Registry versions are published separately. The commands below select this exact version; unpinned npx examples later in this document select the version currently available on npm.

git clone --branch v2.1.1 --depth 1 https://github.com/get-mcp-ads/google-analytics-mcp-server.git

cd google-analytics-mcp-server npm ci npm run build

Configure your MCP client to run node with the absolute path to dist/cli.js and the platform credentials documented below.

Prefer a managed connection? Use Google Analytics 4 with hosted getmcpads. Connect your account, select the data your assistant may access and use the hosted MCP connection. See the site for current features and plans.

What you get

27 read toolsReports, pivots, funnels, realtime, plus the Admin API: properties, data streams, custom definitions, key events, audiences
DiagnosticsEcommerce, BigQuery export, server-side tagging, audience exports, quota snapshots
51 metrics, 62 dimensionsWith a compatibility matrix that catches invalid combinations before they hit the API
6 resourcesLive catalogues the model can read: metrics, dimensions, compatibility rules, 12 workflow recipes
Identifier redactionUser, email and device identifiers redacted by default on access bindings and audience exports, with explicit opt-in to see them
No writes at allNot a flag, a property of the code. See below
Compatibility, checked before the call

GA4 rejects many metric and dimension combinations, and its errors rarely explain which pair is at fault. This server carries the compatibility matrix, so ga4_check_compatibility and ga4_validate_query let the model verify a combination before spending a call and a quota token on it.

Quotas matter here more than on ad platforms: GA4 charges tokens per property per day, and a few careless exploratory queries can exhaust them. ga4_get_property_quotas_snapshot shows what is left.


Read-only, and why it stays that way

There are no write tools, and no environment variable that adds any. Every tool calls a read method of the Data API or the Admin API.

This is not caution for its own sake. A misread report is a wrong answer you can spot. A mistaken write to an analytics property, a deleted audience or an edited data stream, corrupts the record you use to judge everything else, and often silently. The other servers we publish do have write tools, guarded by a mandatory preview. This one has none.

Our ad platform servers with guarded writes: Meta Ads · Google Ads · TikTok Ads


Personal data

Analytics data is not anonymous by default. A GA4 property can carry a userId you set yourself, a device identifier, or a Google Signals pseudonymous ID. An MCP conversation sends whatever a tool returns to a model.

Identifiers are redacted by default wherever this server can return them, and showing them is an explicit opt-in, never the default.

ToolBehaviour
ga4_list_admin_resourcesAccess bindings have user and email identifiers redacted
ga4_query_audience_exportIdentifier columns redacted, matched against the export's own dimension metadata
ga4_get_audience_export_diagnosticsSame redaction on the row sample

Every one of these accepts includePersonalIdentifiers: true to return raw values, and defaults to false.

Audience export rows are positional, so the redaction reads the export's dimension metadata to find identifier columns. If that metadata is missing, every value in the row is redacted rather than guessing which column is safe. Failing closed is the point.

Report rows are not redacted. ga4_run_report and the other reporting tools return what you asked for. Altering the numbers a report returns would be worse than returning them.

So one decision stays yours: if your property carries a userId you consider personal, do not request it as a report dimension in a conversation whose transcript leaves your machine.


Getting credentials

Three values, obtained once.

1. OAuth client

In a Google Cloud project, enable the Google Analytics Data API and the Google Analytics Admin API, then create an OAuth client under APIs & Services → Credentials. Choose Desktop app for local use. Note the client ID and client secret.

2. Refresh token

Run the OAuth consent flow once, signed in as a Google account with access to your GA4 properties, and keep the refresh token. The analytics.readonly scope is enough, and it is the only one you should grant.

📖 Google OAuth for installed apps

The refresh token does not expire. It is the sensitive value: anyone holding it can mint access tokens indefinitely. Use an OAuth client dedicated to this server so you can revoke it on its own.

3. Property ID, optional

Set GA4_PROPERTY_ID to avoid passing it on every call. Find it in GA4 under Admin → Property Settings, or list them with ga4_list_properties.

Run `ga4_health_check` as your first call. It verifies the credentials and lists the properties you can actually reach, without printing any secret.


Setup

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "google-analytics": { "command": "npx", "args": ["-y", "@getmcpads/google-analytics-mcp-server"], "env": { "GA4_CLIENT_ID": "your-client-id", "GA4_CLIENT_SECRET": "your-client-secret", "GA4_REFRESH_TOKEN": "your-refresh-token", "GA4_PROPERTY_IDS": "123456789" } } } }

Restart Claude Desktop. Ask it: *"list my Google Analytics properties"*.

Claude Code
claude mcp add google-analytics --env GA4_CLIENT_ID=... --env GA4_CLIENT_SECRET=... --env GA4_REFRESH_TOKEN=... -- npx -y @getmcpads/google-analytics-mcp-server
Cursor

.cursor/mcp.json in your project, same shape as the Claude Desktop config above.

From source
git clone https://github.com/get-mcp-ads/google-analytics-mcp-server.git

cd google-analytics-mcp-server npm install && npm run build cp .env.example .env # then fill in your credentials npm start

Configuration
VariableDefaultMeaning
GA4_CLIENT_IDnoneRequired. OAuth client ID
GA4_CLIENT_SECRETnoneRequired. OAuth client secret
GA4_REFRESH_TOKENnoneRequired. From the consent flow
GA4_PROPERTY_IDnoneOptional default, saves passing it on every call
GA4_PROPERTY_IDS*unset*Recommended. Comma-separated property IDs every tool is limited to. Unset, every property the credentials reach is available. Required in 3.0.0
LOG_LEVELinfodebug, info, warn, error

Check your setup at any time:

npm run doctor

`

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