Eno Graph MCP Server Google Analytics
This project is a server based on the Model Context Protocol (MCP) that provides an interface to access the Google Analytics Data API, supporting functions such as obtaining reports and real-time data.
rating : 2 points
downloads : 17
What is the Google Analytics Data API MCP Server?
This is a specially designed middleware service that allows non-technical users to easily access Google Analytics 4 (GA4) data. It simplifies complex API calls into simple commands and resource access through a standardized protocol.How to use this service?
You can connect to this service through a simple JSON configuration and then use the provided tools to obtain analytical data or access resources. There's no need to write code; just send simple requests.Use cases
Suitable for marketers, product managers, and business analysts who need to regularly obtain website/app analytical data. It is particularly suitable for integration into chatbots or automated workflows.Main features
Get historical reportsObtain customized analytical reports by specifying the date range, metrics, and dimensions.
Real-time dataGet real-time analytical data such as the current number of active users.
Metadata accessQuery the list of available metrics and dimensions to help build correct queries.
Advantages and limitations
Advantages
Access GA4 data without programming knowledge
The standardized interface is easy to integrate into various systems
Hides complex API authentication details
Provides access to real-time and historical data
Limitations
Requires pre-configuring a Google Cloud service account
Functions are limited by the capabilities of the GA4 API
There are certain limitations on query complexity
How to use
Set up a Google Cloud project
Create a project in the Google Cloud console and enable the Analytics Data API.
Configure the service account
Create a service account, download the authentication JSON file, and grant GA4 access permissions.
Install the MCP server
Clone the repository and install the dependencies.
Configure environment variables
Set the service account email, private key, and GA4 property ID.
Start the server
Run the server to prepare to receive requests.
Usage examples
Get weekly user reportsView the daily user activity and page views in the past 7 days.
Real-time device distributionUnderstand the distribution of device types used by current visitors.
Query available metricsView the list of all available metrics for querying.
Frequently Asked Questions
How to obtain Google Cloud service account credentials?
Where can I find the GA4 property ID?
Why does my query return empty data?
Can I query data from multiple properties?
How much delay is there in real-time data?
Related resources
Google Analytics Data API documentation
Official API reference documentation
Setup guide
Detailed installation and configuration instructions
Claude usage examples
Specific usage examples in Claude
GitHub repository
Project source code
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points