Google Analytics, verified

MCP server by Google · Verified

Run GA4 core, funnel and realtime reports and read Google Analytics account, property and Ads link details.

Runs locally (Runs on your machine: its page has the install command)Runs with pipx

Install Google Analytics

Runs on your machine. Your client starts it with this command:

pipx run analytics-mcp

Needs pipx (Python) on your computer. The setup steps below show where the command goes in each client.

Share this server

Opens this page, with the install command and setup steps.

mcp.tc/i/google-analytics

About

Connects to the Google Analytics Admin API and Data API. You can list accounts and properties, read property details, see linked Google Ads accounts, check custom dimensions and metrics, and run core, funnel and realtime reports. The project is labeled experimental and uses read-only access.

It runs locally over stdio from the analytics-mcp PyPI package, started with pipx. Access uses Google Application Default Credentials with the analytics.readonly scope. The Google Analytics Admin API and Data API must be enabled in your Google Cloud project.

What you can do

  • List Google Analytics accounts and properties
  • Read property details and configuration
  • List Google Ads links for a property
  • Run core GA4 reports
  • Run funnel reports
  • Run realtime reports
  • Retrieve custom dimensions and metrics

Tools

Google Analytics lists its tools only after you sign in, so we can’t show them here. Your client lists them once you’re connected.

Example prompts

  • What are the most popular events in my Google Analytics property in the last 180 days?

  • Give me details about my Google Analytics property with 'shop' in the name.

  • What are the custom dimensions and custom metrics in my property?

  • Show realtime active users by country for my main property.

Set up

Every client starts Google Analytics on your machine with the same command. Pick yours; the page remembers your choice.

Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport stdio google-analytics -- pipx run analytics-mcp
  1. Start Claude Code and type /mcp. google-analytics should show as connected.

Add --scope user to make it available in every project.

Claude Desktop

  1. Open Settings → Developer → Edit Config. It opens claude_desktop_config.json. Add:
claude_desktop_config.json
{
  "mcpServers": {
    "google-analytics": {
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ]
    }
  }
}
  1. Save the file and restart Claude Desktop.

Needs pipx (Python) on your computer. The file lives in ~/Library/Application Support/Claude/ on macOS and %APPDATA%\Claude\ on Windows.

Cursor

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

mcp.json
{
  "mcpServers": {
    "google-analytics": {
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ]
    }
  }
}

Needs pipx (Python) on your computer.

VS Code

Or from a terminal:

code --add-mcp '{"name":"google-analytics","type":"stdio","command":"pipx","args":["run","analytics-mcp"]}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json
{
  "servers": {
    "google-analytics": {
      "type": "stdio",
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ]
    }
  }
}

Needs pipx (Python) on your computer.

Devin Desktop

  1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):
mcp_config.json
{
  "mcpServers": {
    "google-analytics": {
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ]
    }
  }
}
  1. Refresh the MCP server list in Cascade.

Devin Desktop is the new name for Windsurf.

Codex

codex mcp add google-analytics -- pipx run analytics-mcp

Or edit ~/.codex/config.toml directly:

config.toml
[mcp_servers.google-analytics]
command = "pipx"
args = ["run", "analytics-mcp"]

Needs pipx (Python) on your computer.

Gemini CLI

gemini mcp add google-analytics pipx run analytics-mcp

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients that start local servers accept this shape:

{
  "mcpServers": {
    "google-analytics": {
      "command": "pipx",
      "args": [
        "run",
        "analytics-mcp"
      ]
    }
  }
}

Zed puts servers under context_servers in its settings, with the same command, args and env fields.

Needs pipx (Python) on your computer.

FAQ

Can I paste mcp.tc/i/google-analytics into my MCP client?

No. Google Analytics runs on your own computer, started by your client, so it has no web address to connect to. The quick link is the page to share; the install command is pipx run analytics-mcp.

Does Google Analytics need an API key?

No. It doesn’t declare any keys or environment variables. It runs with your user account’s permissions, so check what its tools can reach.

Is Google Analytics a remote or a local server?

Local. Your client starts it as a process on your computer with pipx run analytics-mcp, which needs pipx (Python).

What can Google Analytics do?

You can list Google Analytics accounts and properties, read property details and configuration and list Google Ads links for a property.

Which clients can use it?

Any client that starts local servers: Claude Code, Claude Desktop, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. claude.ai and ChatGPT only connect to remote servers.

Who wrote this page?

mcp.tc’s robot read Google Analytics’s public metadata (its package and repository pages), and an AI model drafted the text from it. A person reviews anything the checks can’t confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.

Embed

Show Google Analytics in a README or on your site. Each embed links to this page, uses the server’s own install command, and sets no cookies. How embeds work

README badge

Badge preview, lightBadge preview, dark
Markdown
[![Google Analytics on mcp.tc](https://mcp.tc/i/google-analytics/badge.svg)](https://mcp.tc/i/google-analytics)
HTML
<a href="https://mcp.tc/i/google-analytics"><img src="https://mcp.tc/i/google-analytics/badge.svg" alt="Google Analytics on mcp.tc" height="20"></a>

It follows the reader’s light or dark mode. Add ?theme=light or ?theme=dark to fix it, or ?style=compact to show the mark without the word.

Website card

HTML
<script src="https://mcp.tc/w/google-analytics.js" async></script>

The card appears where the tag is. Add data-theme="dark" or data-size="compact" to the tag to change it. The file holds everything it needs, so it makes no other requests and sets no cookies.

iframe

HTML
<iframe src="https://mcp.tc/embed/google-analytics" title="Google Analytics on mcp.tc" width="420" height="200" loading="lazy" allow="clipboard-write" style="border:0;border-radius:8px;max-width:100%"></iframe>

Use it on pages that don’t allow scripts. Add ?theme=light or ?theme=dark to the address to fix the colors.

JSON

The listing as data for your own pages and tools: name, tagline, install command, tools and the “Add to” links. Any site can read it (CORS is open).

https://mcp.tc/i/google-analytics.json

What each field means

mcp.tc isn’t affiliated with Google. This page was built from Google Analytics’s public metadata, last checked on 3 Oct 2026, and an AI model wrote the description, so it can be wrong. Names and marks belong to their owners. Something off? Report this listing.