Google Analytics MCP
Use Coupler.io MCP server to sync your website and app data with an AI tool — and explore it effortlessly through natural language.
Why use the Google Analytics 4 MCP?
Analyze website performance
Analyze website performance by asking AI to identify your top-performing pages, traffic sources, and user behavior patterns across different time periods and segments.
Optimize conversion funnels
Monitor conversion funnel effectiveness by requesting AI to examine user journeys, identify drop-off points, and calculate conversion rates for your key business goals.
Understand your audience
Ask AI to analyze audience segments, acquisition channels, and engagement metrics to identify high-value users, build segments, personalize and optimize campaigns.
Enhance marketing decisions
Generate traffic reports by asking AI to compare campaign performance, seasonal trends, and channel effectiveness to make data-driven marketing decisions instantly.
How MCP for Google Analytics works
No technical skills required. Use the Model Context Protocol for Google Analytics to connect GA4 data with the AI tool of your choice.
1
Connect
Link Google Analytics (GA4) with your AI tool to make your analytics data instantly accessible.
2
Ask
Query your AI about audience behavior, traffic sources, and engagement across your site.
3
Act
Turn AI-generated insights into immediate actions that improve targeting, content, and conversions.
Coupler.io’s Google Analytics MCP completely changed how we work with GA4 data. Instead of digging through reports and dashboards, we now get answers in seconds. I can ask questions like ‘Which audience segments drive the most engaged sessions but don’t convert?’ right in our daily sync and act immediately. We’ve uncovered insights we were previously missing and optimized our campaigns and content faster than ever. It genuinely feels like having a GA expert available whenever we need one.
What data can you get via our MCP for Google Analytics?
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Event data
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User data
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Session data
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Traffic source data
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Page view data
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Geography data
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Device data
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Ecommerce purchases
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Custom dimensions and metrics
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Landing page performance
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Demographics data (age, gender)
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Tech data (OS, browser, platform)
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Engagement metrics
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Conversion events
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Audience data
Use Model Content Protocol Google Analytics with top AI tools
Why use Coupler.io Google Analytics MCP server
Integrate GA4 data alongside other sources with AI while maintaining a consistent workflow across all your AI tools—no technical setup required with the Google Analytics 4 MCP server.
Google Analytics 4 MCP
Coupler.io MCP
Setup
Command-line configuration, Python 3.10+, pipx, Google Cloud API enablement, manual JSON credential files
Simple, browser-based setup with guided OAuth flow (no command line)
Hosting
Self-hosted (runs locally on your machine or cloud server you manage)
Fully-managed cloud hosting by Coupler.io
Users
Developers and technical analysts comfortable with CLI tools
Marketing teams, analysts, and business users (no coding required)
Data freshness
Real-time API queries (subject to Google's rate limits)
Data syncs every 15 minutes (cached for instant responses).
AI Tools
Designed for Gemini; community guides available for Claude/Cursor
Pre-configured for Claude, ChatGPT, Perplexity, Cursor, Gemini with step-by-step guides.
Customization level
Direct access to GA4 API (200+ dimensions and metrics)
Predefined fields with guided query options for ease of use
Data sources
Each data source requires its own MCP configuration.
Connect and manage over 370+ data sources within a single MCP server.
Customer support
Community forums and GitHub issues
Dedicated customer support team
Frequently asked questions
Coupler.io's MCP server bridges the gap between your Google Analytics campaigns and AI assistants like Claude, ChatGPT, and Gemini. Simply ask questions in conversational language—"Which traffic sources generated the highest conversion rate last month?" or "How has mobile engagement changed quarter-over-quarter?"—and receive immediate, data-backed answers.
Why it matters: Your analytics data is pre-structured and query-ready, delivering precise insights without manual exports or spreadsheet work. Meanwhile, your website performance metrics and user behavior data remain within Coupler.io's secure infrastructure, never directly exposed to AI platforms.
Behind the scenes, MCP (Model Context Protocol)—an open-source standard—enables this secure data exchange, letting AI tools query external sources like Google Analytics.
The Coupler.io MCP server integrates seamlessly with any data source supported by Coupler.io, giving you access to 400+ apps you can pull data from. It goes far beyond Google Analytics 4—connecting marketing platforms like Google Ads and Facebook Ads, business tools such as HubSpot, Salesforce, and Shopify, and data sources including BigQuery, Excel, and Google Sheets. New integrations are added regularly, expanding your options even further.
No technical skills or query languages are required to work with your data. Setup is straightforward: connect your data source, choose an AI tool to sync your data to, and set the refresh schedule. After that, you can interact with your data in plain language.
Coupler.io maintains SOC 2 certification and complies with GDPR, HIPAA and DORA standards. When you connect AI tools like Claude to Google Analytics MCP, the platform functions as a secure intermediary layer with end-to-end encryption during all data processing. This architecture ensures AI platforms never directly access your analytics data sources.
Instead, you maintain granular control over exactly which data gets shared and analyzed. While Coupler.io provides enterprise-grade security, we encourage users to review your chosen AI tool’s privacy settings—including disabling memory features and opting out of model training where available. Note that privacy controls may differ based on your AI tool’s subscription tier, so confirm the options available in your specific plan.
It depends on your technical expertise and requirements. The official Google Analytics MCP server is ideal for developers who need direct API access and are comfortable with technical setup, while Coupler.io provides a managed solution designed for teams who want to start analyzing data immediately.
What the official MCP for Google Analytics requires:
- Self-hosting: Run and maintain your own Model Context Protocol Google Analytics server, either locally or on cloud infrastructure you manage
- Technical setup: Command-line configuration, Python 3.10+, pipx installation, Google Cloud API enablement, and manual JSON credential management
- Limited AI compatibility: Built primarily for Gemini; integrating with Claude, ChatGPT, or other AI tools requires additional configuration without official guides
How Coupler.io compares:
Coupler.io offers a managed MCP alternative that removes technical barriers entirely. No Python installation, no Google Cloud API configuration, no command-line setup, no manual credential files. Connect Google Analytics (and 370+ other data sources) through a simple browser-based OAuth flow, and start querying your data within minutes.
Google Analytics provides valuable insights, but navigating dashboards and building custom reports can be challenging and time-consuming.
Coupler.io's MCP server connects Google Analytics directly to AI tools like ChatGPT, Claude, or Perplexity, letting you explore your data on your own terms. Skip the dashboard complexity and simply ask questions naturally—the AI pulls answers directly from your GA4 data in seconds.
Even better: Blend Google Analytics with other marketing platforms like LinkedIn Ads, Facebook Ads, Google Ads, Search Console, Mailerlite, and more. Ask cross-platform questions like 'Which ad channel drives the best conversion rate?' and get unified insights across all your data sources.
With Coupler.io, you control how often your data is refreshed—ranging from scheduled updates to near-real-time syncs as frequent as every 15 minutes.