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MCP Search Analytics
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MCP Search Analytics

An integrated analysis service for Google Analytics and Search Console data based on the MCP protocol, providing a unified API interface and secure credential management.
Research and dataDeveloper tools#Data analysis#Unified interface#Google services#Security authentication.Python
2 points
4.7K
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Overview

Content Details

Alternatives

What is the MCP Search Analytics Server?

The MCP Search Analytics Server is a Model Context Protocol (MCP) server that provides unified access to Google Analytics 4 and Google Search Console data. This server supports real-time analytics queries and implements secure credential management through environment variables.

How to use the MCP Search Analytics Server?

To use the MCP Search Analytics Server, you need to install a Python environment, configure a Google service account, and set the necessary environment variables. Then you can run the server and start data analysis.

Applicable scenarios

The MCP Search Analytics Server is suitable for enterprises or developers who need to analyze website traffic and search performance in real-time. It can be used to optimize website content, improve user experience, and enhance search engine rankings.

Main features

Unified data access
Provides a unified access interface to Google Analytics 4 and Google Search Console data.
Real-time analytics queries
Supports real-time data analysis through the MCP interface, improving decision-making efficiency.
Secure credential management
Implements secure credential management through environment variables to avoid the leakage of sensitive information.
Advantages
Provides a unified data access interface, simplifying the data analysis process.
Supports real-time queries, improving data processing efficiency.
A secure credential management mechanism that protects sensitive information.
Limitations
Requires a certain technical foundation for configuration and use.
Relies on the Google Cloud API and may be affected by API limitations.
The initial setup may be complex for non-technical users.

How to use

Clone the repository
Clone the MCP Search Analytics Server code repository from GitHub.
Create a virtual environment
Create an independent Python virtual environment for the project.
Install dependencies
Install the Python dependencies required for the project.
Configure environment variables
Create a.env file based on the example file and fill in the actual configuration parameters.
Test credentials
Run the test script to verify that the configuration is correct.
Start the server
Run the main program to start the MCP Search Analytics Server.

Usage examples

Analyze website traffic
Use the MCP Search Analytics Server to obtain real-time website traffic data and understand user behavior patterns.
Optimize search engine rankings
Analyze Google Search Console data to identify the key factors affecting search engine rankings.

Frequently Asked Questions

What tools do I need to use the MCP Search Analytics Server?
How can I protect my service account credentials?
What should I do if I encounter an error?

Related resources

Official documentation
Google Analytics official documentation, providing detailed API descriptions.
GitHub repository
The code repository for the MCP Search Analytics Server.
Video tutorial
A video tutorial on how to set up and use the MCP Search Analytics Server.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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