Google Analytics is a web analytics service that provides statistics and basic analytical tools for search engine optimization (SEO) and marketing purposes. It helps website owners track and analyze their website traffic, user behavior, and marketing effectiveness.
Provides comprehensive analytics and tag management capabilities through Piwik PRO, including app management, tracker configuration, tag manager operations (tags, triggers, variables), customer data platform features for audience management, and version control for analytics implementations.
Enables AI assistants to manage Piwik PRO Analytics resources including apps, tags, triggers, variables, audiences, and tracker settings through natural language commands. Supports comprehensive analytics configuration and tag management operations.
40
58 PyPI
7
MIT
Why this server?
Allows auditing websites for the presence and GDPR compliance of Google Analytics trackers.
Connect Claude to your marketing data from Google and Meta, enabling read and write operations on Search Console, Analytics, Tag Manager, Business Profile, and Meta platforms.
35
1
Apache 2.0
Why this server?
Integrates with Google Analytics 4 to retrieve sessions, users, conversions, traffic sources, and AI referrer traffic from engines like ChatGPT and Perplexity.
SEO + GEO MCP server: live Google Search Console & GA4 data, keyword and page analysis, AI-visibility tracking across ChatGPT, Claude, Gemini & Perplexity, site audit and SEO task management — all from chat.
38
2
MIT
Why this server?
Provides tools for interacting with Google Analytics Admin and Data APIs, enabling retrieval of account and property information, running core and realtime reports, and managing custom dimensions and metrics.
Provides read-only tools for GA4 Admin (account, property, data stream management) and GA4 Data API reporting (run reports, run realtime reports) for intent-vs-reality reconciliation.
Production-grade MCP server for the Google Tag Manager API v2 with read-only GA4 (Admin + Data API) tooling. 107 tools covering the full GTM surface, including server-side containers. Ships read-only: writes, publishes, and deletes are each gated behind separate opt-in flags, every mutation requires per-call confirmation, and a dry-run mode simulates changes. Includes container audits
100
121 npm
2
MIT
Why this server?
Provides access to real-time and historical analytics data from Google Analytics 4, including sessions, pageviews, top pages, and event counts.
Auto-discovers MCP servers for your project and tracks ROI per session. One install: npx -y @perceptdot/core.
Your agent finds its own tools and reports tokens saved.
1
2
MIT
Why this server?
Reads GA4 traffic data across multiple Google accounts and properties, reporting sessions by source and medium and separately counting referrals from AI assistants such as ChatGPT, Perplexity, Copilot, Gemini, and Claude.
A read-only MCP server and CLI that enables AI agents and users to read Google Search Console and GA4 metrics across multiple Google accounts, plus WordPress.org, Firefox Add-ons, and GitHub stats, and generate weekly snapshots.
11
MIT
Why this server?
Interacts with Google Analytics Admin and Data APIs to retrieve account summaries, property details, and custom dimensions, as well as running core and real-time reports.
Enables LLMs to interact with Google Analytics Admin and Data APIs to retrieve account summaries, property details, and custom metrics. It allows users to run core and real-time reports to analyze website performance and configuration via natural language.
