mcp-server-google-analytics
MCP server providing access to Google Analytics Data API, enabling LLMs to retrieve reports, real-time data, and metadata from GA4 properties.
README
Google Analytics MCP Server (Python)
A Model Context Protocol (MCP) server that provides access to Google Analytics Data API. This Python implementation allows LLMs to retrieve reports, real-time data, and metadata from Google Analytics 4 properties.
Features
- get_report: Retrieve reports based on specified date ranges, metrics, and dimensions
- get_realtime_data: Fetch real-time analytics data
- Metadata Resources: Access metadata for Google Analytics properties including available metrics and dimensions
Prerequisites
- Google Cloud Project: Create a Google Cloud project and enable the Analytics Data API
- Service Account: Create a service account and download the credentials JSON file
- GA4 Access: Grant the service account appropriate access to your GA4 property
For detailed setup instructions, see the Google Analytics Data API documentation.
Installation
Option 1: Using pip (recommended)
pip install mcp-server-google-analytics
Option 2: From source
# Clone the repository
git clone https://github.com/GunnarGriese/mcp-server-google-analytics.git
cd mcp-server-google-analytics
# Install dependencies
pip install -e .
Configuration
Set the following environment variables:
export GOOGLE_CLIENT_EMAIL="your-service-account@project.iam.gserviceaccount.com"
export GOOGLE_PRIVATE_KEY="your-private-key"
export GA_PROPERTY_ID="your-ga4-property-id"
Finding Your Configuration Values
- GOOGLE_CLIENT_EMAIL: Found in your service account JSON file as
client_email - GOOGLE_PRIVATE_KEY: Found in your service account JSON file as
private_key - GA_PROPERTY_ID: Your GA4 property ID (numeric, e.g., "123456789")
Usage
Running the Server
# Using the installed script
mcp-server-google-analytics
# Or directly with Python
python -m mcp_server_google_analytics.server
Claude Desktop Integration
Add the following to your Claude Desktop configuration file:
{
"mcpServers": {
"google-analytics": {
"command": "python",
"args": ["-m", "mcp_server_google_analytics.server"],
"env": {
"GOOGLE_CLIENT_EMAIL": "your-service-account@project.iam.gserviceaccount.com",
"GOOGLE_PRIVATE_KEY": "your-private-key",
"GA_PROPERTY_ID": "your-ga4-property-id"
}
}
}
}
Alternative: Using the pip-installed script
{
"mcpServers": {
"google-analytics": {
"command": "mcp-server-google-analytics",
"env": {
"GOOGLE_CLIENT_EMAIL": "your-service-account@project.iam.gserviceaccount.com",
"GOOGLE_PRIVATE_KEY": "your-private-key",
"GA_PROPERTY_ID": "your-ga4-property-id"
}
}
}
}
Examples
Get Report
Use the get_report tool to retrieve analytics data:
# Example arguments:
{
"start_date": "7daysAgo",
"end_date": "today",
"metrics": ["activeUsers", "screenPageViews"],
"dimensions": ["date"],
"limit": 10
}
Get Real-time Data
Use the get_realtime_data tool to get current active users:
# Example arguments:
{
"metrics": ["activeUsers"],
"dimensions": ["deviceCategory"],
"limit": 10
}
Access Metadata
Access the ga4://property/123456789/metadata or ga4://default/metadata resource to see available metrics and dimensions.
Supported Date Formats
- Absolute dates:
"2024-01-01" - Relative dates:
"today","yesterday" - Days ago:
"7daysAgo","30daysAgo" - Months ago:
"1monthAgo","2monthsAgo"
Common Metrics and Dimensions
Popular Metrics
activeUsers- Number of distinct usersscreenPageViews- Number of page/screen viewssessions- Number of sessionsbounceRate- Bounce rate percentageaverageSessionDuration- Average session duration
Popular Dimensions
date- Date of the sessioncountry- Country of origincity- City of origindeviceCategory- Device category (desktop, mobile, tablet)browser- Browser usedoperatingSystem- Operating system
Error Handling
The server includes comprehensive error handling for:
- Missing environment variables
- Invalid Google API credentials
- API rate limits and quotas
- Invalid property IDs
- Malformed requests
Development
Setting up for development
# Clone the repository
git clone https://github.com/your-username/mcp-server-google-analytics-python.git
cd mcp-server-google-analytics-python
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install in development mode
pip install -e ".[dev]"
Troubleshooting
Authentication Issues
- Verify your service account has the correct permissions
- Check that the Analytics Data API is enabled in your Google Cloud project
- Ensure your private key is properly formatted (newlines should be
\n)
Property Access Issues
- Confirm your service account has been added to your GA4 property
- Verify the property ID is correct (numeric format)
- Check that the property has data for the requested date range
Common Error Messages
"Google Analytics client not initialized": Check environment variables"No property ID provided": Set GA_PROPERTY_ID environment variable"Google API error": Check API credentials and permissions
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
Please feel free to submit a Pull Request.
Support
If you encounter any issues or have questions, please file an issue on the GitHub repository.
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