Google Analytics MCP Server
Enables LLM applications to query Google Analytics 4 data through standard MCP interfaces, supporting real-time data, custom reports, and metadata discovery.
README
Google Analytics MCP Server
A Model Context Protocol (MCP) server that provides seamless access to Google Analytics 4 data through standard MCP interfaces. This tool allows LLM applications to easily query and analyze Google Analytics data without directly dealing with the complexities of the Google Analytics Data API.
Features
- Real-time Data Access: Get real-time analytics data for current active users and activity
- Custom Reports: Create comprehensive reports with custom dimensions and metrics
- Quick Insights: Predefined analytics insights for common use cases
- Metadata Discovery: Get available dimensions and metrics for your Google Analytics property
- Smart Error Handling: Detailed error messages with actionable solutions for permission issues
- Standard MCP Interface: Works with any MCP-compatible client
Installation
npm install @toolsdk.ai/google-analytics-mcp
Prerequisites
- Node.js >= 18.0.0
- Google Analytics 4 property
- Google Cloud service account with appropriate permissions
Setup
1. Google Cloud Service Account Setup
- Create a Google Cloud service account with the "Viewer" role for your Google Analytics property
- Download the service account key as JSON
- Add the service account to your Google Analytics property with Viewer access:
- Go to Google Analytics (analytics.google.com)
- Navigate to Admin > Property Access Management
- Add your service account email with Viewer access
2. Environment Configuration
Create a .env file in your project root with the following content:
GOOGLE_CREDENTIALS='{"type":"service_account","project_id":"your-project-id","private_key_id":"your-private-key-id","private_key":"-----BEGIN PRIVATE KEY-----\nYOUR_PRIVATE_KEY\n-----END PRIVATE KEY-----\n","client_email":"your-service-account@your-project.iam.gserviceaccount.com","client_id":"your-client-id","auth_uri":"https://accounts.google.com/o/oauth2/auth","token_uri":"https://oauth2.googleapis.com/token","auth_provider_x509_cert_url":"https://www.googleapis.com/oauth2/v1/certs","client_x509_cert_url":"https://www.googleapis.com/robot/v1/metadata/x509/your-service-account%40your-project.iam.gserviceaccount.com"}'
Note: Make sure to properly format the private key with \n for newlines.
Usage
Use ToolSDK.ai
import { ToolSDKApiClient } from 'toolsdk/api';
const toolSDK = new ToolSDKApiClient();
// Get Tools
const GoogleAnalyticsMCP = await toolSDK.package('@toolsdk.ai/google-analytics-mcp', {
GOOGLE_CREDENTIALS: process.env.GOOGLE_CREDENTIALS,
});
Use Claude
{
"mcpServers": {
"google-analytics-mcp": {
"command": "npx",
"args": [
"-y",
"@toolsdk.ai/google-analytics-mcp"
],
"env": {
"GOOGLE_CREDENTIALS": "Your Google Credentials JSON String"
}
}
}
}
Available Tools
analytics_report
Get comprehensive Google Analytics data with custom dimensions and metrics. Can create any type of report.
Parameters:
propertyId(string, required): Google Analytics property IDstartDate(string, required): Start date (YYYY-MM-DD)endDate(string, required): End date (YYYY-MM-DD)dimensions(array, optional): Dimensions to querymetrics(array, required): Metrics to querydimensionFilter(object, optional): Filter by dimension valuesmetricFilter(object, optional): Filter by metric valuesorderBy(object, optional): Sort results by dimension or metriclimit(number, optional): Limit number of results (default: 100)
realtime_data
Get real-time analytics data for current active users and activity.
Parameters:
propertyId(string, required): Google Analytics property IDdimensions(array, optional): Dimensions for real-time datametrics(array, optional): Real-time metrics (default: ['activeUsers'])limit(number, optional): Limit number of results (default: 50)
quick_insights
Get predefined analytics insights for common use cases.
Parameters:
propertyId(string, required): Google Analytics property IDstartDate(string, required): Start date (YYYY-MM-DD)endDate(string, required): End date (YYYY-MM-DD)reportType(string, required): Type of quick insight report (overview, top_pages, traffic_sources, etc.)limit(number, optional): Limit number of results (default: 20)
get_metadata
Get available dimensions and metrics for Google Analytics property.
Parameters:
propertyId(string, required): Google Analytics property IDtype(string, optional): Type of metadata to retrieve (dimensions, metrics, both)
search_metadata
Search for specific dimensions or metrics by name or category.
Parameters:
propertyId(string, required): Google Analytics property IDquery(string, required): Search term to find dimensions/metricstype(string, optional): Type of metadata to search (dimensions, metrics, both)category(string, optional): Filter by category
Error Handling
The server provides detailed error messages with actionable solutions:
- Permission Errors: Clear instructions on how to grant access to your service account
- Configuration Errors: Guidance on setting up environment variables correctly
- API Errors: Detailed information about what went wrong with the Google Analytics API
License
MIT
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。