Google Analytics 4 MCP Server

Google Analytics 4 MCP Server

Enables managing Google Analytics 4 properties, data streams, conversions, and running reports using natural language through the Admin and Data APIs.

Category
访问服务器

README

Google Analytics 4 MCP Server

<!-- mcp-name: io.github.stucchi/google-analytics -->

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)

  1. Google Cloud ConsoleIAM & Admin → Service Accounts

    • Create a service account (any name)
    • Click it → Keys → Add Key → JSON → Download
  2. Enable APIs in your GCP project:

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

  4. 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

  1. Check auth: Call check_auth_status to verify the service account is configured
  2. List accounts: Call list_accounts to see your GA4 accounts
  3. Setup a property: Use create_propertycreate_web_data_streamget_tracking_snippet
  4. 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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选