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AI Model Context Protocol (MCP): Unlocking Matomo’s Power
Rating: 3.7 out of 5(3 ratings)
376 students

AI Model Context Protocol (MCP): Unlocking Matomo’s Power

Unlocking Next-Gen Analytics: MCP Meets Content Creation and Performance in Matomo
Created byRonan Chardonneau
Last updated 9/2025
English
English [Auto],

What you'll learn

  • Understand what the Model Context Protocol (MCP) is Learn the core principles of MCP and how it applies to data systems.
  • Explore how MCP enhances Matomo’s analytics capabilities Discover how MCP improves context awareness and tracking quality.
  • Identify real-world use cases of MCP within Matomo See how context modeling supports deeper insights and smarter reporting.
  • Evaluate the benefits of using MCP in your own Matomo setup Learn how to apply MCP concepts to optimize your analytics strategies.

Course content

1 section • 16 lectures • 55m total length

  • Introduction to Matomo MCP - Text2:08
  • Introduction to Matomo MCP - Video3:20

    Discover how the MCP enables natural language interaction with the API to add annotations, create segments, and analyze data in Matomo.

  • Using Matomo MCP default prompts - Text2:05
  • Using Matomo MCP default prompts - Video4:13

    Explore how Matomo MCP default prompts streamline web analytics by generating comprehensive website overviews, KPI reports, and audits for traffic, configuration, and compliance.

  • Adding Contextual Annotations in Matomo Using the MCP - Text0:49
  • Adding Contextual Annotations in Matomo Using the Model Context Protocol - Video4:21

    Learn to add contextual annotations in Matomo using the Model Context Protocol and Momentum Analytics, tagging agenda dates and key events to reveal traffic peaks and trends.

  • Resetting a Matomo configuration with an MCP - Text0:48
  • Resetting a Matomo configuration with an MCP - Video5:03

    Learn how to use an MCP to reset a Matomo configuration, erasing annotations, goals, and segments for a site ID, and handle errors to verify clean restarts.

  • Defining Goals in Matomo Using MCP - Text0:22
  • Defining Goals in Matomo Using MCP - Video5:02

    Define and manage goals in Matomo using the MCP, demonstrated on a cinema site with scanning and adding goals such as ticket sales and account creation, highlighting practical challenges.

  • Defining a Measurement Plan - Text0:46
  • Defining a Measurement Plan - Video4:04

    Define and implement a measurement plan using the MCP to create containers, tags, triggers, and variables in the Matomo tag manager, then validate the setup in Google Analytics.

  • Adding test data into Matomo - Text1:15
  • Adding test data into Matomo - Tracking API - Video9:54

    Learn how the MCP server injects fake data into Matomo to create test visits, events, and custom dimensions for health or financial scenarios.

  • Wrapping it all - Using WordPress MCP along with Matomo MCP - Text0:49
  • Wrapping it all - Using WordPress MCP along with Matomo MCP - Video10:39

    See how MCP enables AI to automate WordPress and Matomo workflows, generating blog content, tracking visits, and boosting engagement with CTAs and events.

Requirements

  • No prior knowledge of Matomo or MCP is required This course is designed as an introduction for all learners.
  • Basic understanding of web analytics is helpful Familiarity with metrics like visits, bounce rate, or conversions can enrich the experience.
  • Curiosity about data context and smarter analytics A willingness to explore new ideas in how analytics tools work is all you need.
  • Access to a browser and internet connection No technical tools or installations are necessary.

Description

Are you using Matomo and looking for smarter ways to manage and analyze your data? This course introduces you to the Model Context Protocol (MCP) — a powerful framework that brings a whole new level of intelligence and flexibility to your Matomo experience.

Designed for analysts, marketers, developers, and Matomo users of all backgrounds, this course explains how MCP not only helps you build better, more contextual reports, but also opens the door to automation within Matomo — such as automated data deletion, creation, editing, and bulk modifications.

Through clear examples and guided exploration, you'll learn how MCP enables:

  • Smarter segmentation and user behavior analysis

  • Automated workflows to maintain or update your Matomo setup

  • Cleaner, more meaningful reporting structures

  • Greater scalability for teams managing large or dynamic datasets

No prior technical skills are required. Whether you're working in an agency, a nonprofit, or a corporate environment, this course will give you a deeper understanding of how Matomo can evolve from a static analytics tool into an adaptable, intelligent platform — all thanks to the power of context modeling and automation.

Join us and discover how the Model Context Protocol can streamline your workflows and unlock the full potential of Matomo.

Have a great course,

Ronan Chardonneau

Who this course is for:

  • Teams seeking deeper insight from Matomo data
  • Web professionals new to model context concepts
  • Analysts exploring AI-enhanced Matomo practices
  • Matomo users curious about smarter data workflows

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