原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Google Analytics 4

作者:mindstone版本 0.2.1i★ –i在你的电脑上运行
注册名称io.github.mindstone/mcp-server-google-analytics

安装

概览

作者提供的说明(英文原文)

Google Analytics 4 MCP server with reporting, schema discovery, and admin visibility tools

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 营销与社交媒体
  • 你需要填写:GOOGLE_APPLICATION_CREDENTIALS

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: GOOGLE_APPLICATION_CREDENTIALS, GA4_PROPERTY_ID

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "google-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-google-analytics"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value",
        "GA4_PROPERTY_ID": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add google-analytics --env GOOGLE_APPLICATION_CREDENTIALS=your-value --env GA4_PROPERTY_ID=your-value -- npx -y @mindstone/mcp-server-google-analytics

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "google-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-google-analytics"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value",
        "GA4_PROPERTY_ID": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "google-analytics": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-google-analytics"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value",
        "GA4_PROPERTY_ID": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • GOOGLE_APPLICATION_CREDENTIALS 必填 env
    Absolute path to ADC or service-account JSON file
  • GA4_PROPERTY_ID env
    Default GA4 property ID (e.g. 123456789)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 mindstone 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2965 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2965 个服务器的 24% 更新
  • 基础检查结果等于或优于此分类中其他 2965 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Google Analytics 4 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:GOOGLE_APPLICATION_CREDENTIALS

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.1)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT9天前更新
安装

Google Analytics MCP

作者:surendranb

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

在你的电脑上运行★ 244MIT9天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

@mindstone/mcp-server-google-analytics

Google Analytics 4 MCP server for Model Context Protocol hosts. Discover account/property structure, explore the live schema, run reports (with row-volume safety), create large asynchronous exports, and inspect admin configuration through a standardised MCP interface. With writes explicitly enabled, it can also set up and change property configuration: key events, custom dimensions and metrics, audiences, channel groups, data streams, enhanced measurement, event create and edit rules, calculated metrics, annotations, attribution, Measurement Protocol secrets, product links, and data retention.

Status

  • Version: 0.2.1 · npm
  • Auth: OAuth via Google ADC (GOOGLE_APPLICATION_CREDENTIALS)
  • Tools: 91 (accounts, schema, reporting, admin, admin writes)
  • Surface: cloud-api
  • Machine-readable: STATUS.json

Requirements

  • Node.js 20+
  • npm
  • Google Application Default Credentials (ADC) with the analytics.readonly scope, or a service account JSON with access to the GA4 property
  • For write tools: GA4_ALLOW_WRITES=true, credentials with the analytics.edit scope, and the Editor role on the property

One-click install

After clicking the button, your host will prompt you to fill: GOOGLE_APPLICATION_CREDENTIALS.

Manual config for Claude Desktop / Claude Code / Goose / Continue.dev (Google Analytics 4)

{

"mcpServers": { "Google Analytics 4": { "command": "npx", "args": [ "-y", "@mindstone/mcp-server-google-analytics" ], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "" } } } }

Quick Start

Install & build
cd <path-to-repo>/connectors/google-analytics

npm install npm run build

npx (once published)
npx -y @mindstone/mcp-server-google-analytics
Local
node dist/index.js

Authentication

This server uses Google Application Default Credentials (ADC). Mint ADC for a user account by installing the Google Cloud CLI and running:

gcloud auth application-default login \

--scopes=https://www.googleapis.com/auth/analytics.readonly \ --client-id-file=/absolute/path/to/oauth-client-secret.json

The --client-id-file is optional but strongly recommended — using your own OAuth client avoids the shared gcloud quota and gives you a stable verification footprint. You'll need a Google Cloud project with the Google Analytics Admin API and Google Analytics Data API enabled.

For service accounts, set GOOGLE_APPLICATION_CREDENTIALS to the absolute path of the service-account JSON. The service account must be granted access to the GA4 property in the GA4 Admin UI.

Enabling writes

Write tools are registered but refuse to run (WRITES_DISABLED) unless GA4_ALLOW_WRITES=true. To use them, mint ADC with the edit scope instead:

gcloud auth application-default login \

--scopes=https://www.googleapis.com/auth/analytics.edit \ --client-id-file=/absolute/path/to/oauth-client-secret.json

The account (or service account) also needs the Editor role on the GA4 property. Service-account credentials request the edit scope automatically when writes are enabled; user ADC keeps whatever scope it was minted with.

Configuration

Environment variables
  • GOOGLE_APPLICATION_CREDENTIALS — required. Absolute path to ADC or service-account JSON. Node does not expand ~ or %APPDATA% — provide a fully-resolved path.
  • GA4_PROPERTY_ID — optional. Default GA4 property ID (e.g. 123456789). Tools fall back to this when property_id is not passed in the call.
  • GA4_ALLOW_WRITES — optional. Set to true (or 1) to allow the write tools to change GA4 configuration. Any other value, or unset, keeps the connector read-only.

Host configuration examples

Claude Desktop / Cursor
{

"mcpServers": { "GoogleAnalytics": { "command": "npx", "args": ["-y", "@mindstone/mcp-server-google-analytics"], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "/Users/you/.config/gcloud/application_default_credentials.json", "GA4_PROPERTY_ID": "123456789" } } } }

Local development (no npm publish needed)
{

"mcpServers": { "GoogleAnalytics": { "command": "node", "args": [" /connectors/google-analytics/dist/index.js"], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "/absolute/path/to/credentials.json", "GA4_PROPERTY_ID": "123456789" } } } }

Tools (91)

Account & property
  • ga_list_account_summaries — discover available accounts and properties
  • ga_list_properties — flat list of GA4 properties with optional filtering
  • ga_get_property_details — currency, time zone, industry category, service level
Schema discovery
  • ga_get_metadata — live property schema
  • ga_get_property_schema — same data with summary counts
  • ga_search_schema — keyword search across dimensions and metrics
  • ga_list_dimension_categories, ga_list_metric_categories
  • ga_get_dimensions_by_category, ga_get_metrics_by_category
  • ga_check_compatibility — verify dimension/metric combinations before reporting
Reporting
  • ga_run_report — core report with row-volume safety (estimate, opt-in to large datasets, automatic aggregation suggestions)
  • ga_run_pivot_report — cross-tabulated reports
  • ga_batch_run_reports — up to 5 reports in one call
  • ga_run_realtime_report — last 30 minutes of activity
  • ga_get_property_quotas_snapshot — remaining tokens / requests
  • ga_run_funnel_report — step-by-step completion and drop-off, with optional breakdown, next action, and trended view (v1alpha)
Large exports
  • ga_create_report_task — start an asynchronous report task for large exports (no synchronous timeout, no row-volume gate)
  • ga_get_report_task — poll task state until ACTIVE
  • ga_query_report_task — page task rows (up to 250,000 per page)
  • ga_create_audience_export — snapshot the users in an audience (incl. predictive segments); charges audience-export quota tokens
  • ga_get_audience_export — poll export state until ACTIVE
  • ga_list_audience_exports — find and reuse existing exports
  • ga_query_audience_export — page user-level rows from an ACTIVE export
Admin visibility
  • ga_list_audiences — audiences configured on the property, with filter clauses
  • ga_list_channel_groups — channel groups and their grouping rules
  • ga_get_custom_dimensions_and_metrics
  • ga_list_google_ads_links
  • ga_list_key_events
  • ga_list_data_streams
  • ga_get_global_site_tag — gtag.js snippet for the first web stream
  • ga_list_bigquery_links
  • ga_get_data_retention_settings
  • ga_list_firebase_links
  • ga_search_change_history_events
  • ga_get_enhanced_measurement_settings — automatic events on a web stream
  • ga_list_event_create_rules — rules that derive new events on a stream
  • ga_list_measurement_protocol_secrets — secret values are returned; treat as sensitive
  • ga_list_annotations — chart annotations (v1alpha)
  • ga_get_attribution_settings — attribution model and lookback windows (v1alpha)
  • ga_list_calculated_metrics — formula metrics (v1alpha)
  • ga_list_event_edit_rules — rules that rename or modify events on a stream (v1alpha)
  • ga_get_google_signals_settings (v1alpha)
  • ga_get_data_sharing_settings — account-level
Admin writes (require GA4_ALLOW_WRITES=true)

Every write is annotated readOnlyHint: false, destructiveHint: true. Archive, delete, acknowledgement, and data-retention tools also require confirm: true. Update tools change only the fields you pass (the update mask is built from them) and fail with NOTHING_TO_UPDATE if you pass none.

  • Key events: ga_create_key_event, ga_update_key_event, ga_delete_key_event
  • Custom dimensions: ga_create_custom_dimension, ga_update_custom_dimension, ga_archive_custom_dimension
  • Custom metrics: ga_create_custom_metric, ga_update_custom_metric, ga_archive_custom_metric
  • Audiences (v1alpha): ga_create_audience, ga_update_audience, ga_archive_audience
  • Channel groups (v1alpha): ga_create_channel_group, ga_update_channel_group, ga_delete_channel_group
  • Event create rules (v1alpha): ga_create_event_create_rule, ga_update_event_create_rule, ga_delete_event_create_rule
  • Property: ga_create_property, ga_update_property, ga_delete_property (moves to trash for 35 days), ga_acknowledge_user_data_collection
  • Data streams: ga_create_web_data_stream, ga_update_data_stream, ga_delete_data_stream
  • Enhanced measurement (v1alpha): ga_update_enhanced_measurement_settings
  • Measurement Protocol secrets: ga_create_measurement_protocol_secret, ga_delete_measurement_protocol_secret
  • Google Ads links: ga_create_google_ads_link, ga_update_google_ads_link, ga_delete_google_ads_link
  • Firebase links: ga_create_firebase_link, ga_delete_firebase_link
  • BigQuery links (v1alpha): ga_create_bigquery_link, ga_update_bigquery_link, ga_delete_bigquery_link
  • Data retention: ga_update_data_retention_settings
  • Annotations (v1alpha): ga_create_annotation, ga_update_annotation, ga_delete_annotation
  • Attribution (v1alpha): ga_update_attribution_settings
  • Calculated metrics (v1alpha): ga_create_calculated_metric, ga_update_calculated_metric, ga_delete_calculated_metric
  • Event edit rules (v1alpha): ga_create_event_edit_rule, ga_update_event_edit_rule, ga_delete_event_edit_rule

Explorations, saved reports, and report layouts have no Google API, so they cannot be created or changed by this connector.

Notes

  • Read-only by default. Without GA4_ALLOW_WRITES=true, the only tools that create anything are ga_create_report_task and ga_create_audience_export, which materialise server-side snapshots and charge quota without modifying property configuration. The admin write tools refuse with WRITES_DISABLED before any request is sent. All of these are annotated readOnlyHint: false, destructiveHint: true, so hosts can gate them behind explicit user approval.
  • Alpha endpoints. Audiences, channel groups, BigQuery lin

只显示了开头部分;其余内容请在仓库中阅读

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