Matomo JS
A modern JavaScript/TypeScript client library for Matomo Analytics.
Project Status
⚠️ This project is still under construction. APIs may change in the future as we continue to develop and refine the library. Please use with caution in production environments.
Overview
This monorepo contains JavaScript/TypeScript libraries for interacting with Matomo Analytics. Built with TypeScript and structured as an Nx monorepo for optimal development experience.
Packages
Reporting Client (@mj-kiwi/matomo-client)
A TypeScript client for the Matomo Reporting API with strongly typed interfaces. This package provides a convenient way to interact with Matomo's Reporting API endpoints.
Features
- Modern, Promise-based API
- TypeScript support with full type definitions
- Modular design for flexible usage
- Tree-shakable (import only what you need)
Available Modules
The reporting client includes modules for all major Matomo API endpoints, including:
- Core - Core reporting functionality (
core) - API - General API operations (
api) - SitesManager - Methods for managing sites (
sitesManager) - AbTesting - Methods for A/B testing features (
abTesting) - Actions - Page views, content tracking (
actions) - ActivityLog - User activity logs (
activityLog) - AdvertisingConversionExport - Advertising conversion exports (
advertisingConversionExport) - Annotations - Managing annotations (
annotations) - ConnectAccounts - Integration with other platforms (
connectAccounts) - Contents - Content interaction data (
contents) - CoreAdminHome - Administrative tasks (
coreAdminHome) - CrashAnalytics - JavaScript error tracking (
crashAnalytics) - CustomAlerts - Custom alert definitions (
customAlerts) - CustomDimensions - Custom dimensions tracking (
customDimensions) - CustomJsTracker - Custom JS tracker functionality (
customJsTracker) - CustomReports - Custom report management (
customReports) - CustomVariables - Custom variables data (
customVariables) - Dashboard - Dashboard management (
dashboard) - DevicePlugins - Browser plugin statistics (
devicePlugins) - DevicesDetection - Visitor device reports (
devicesDetection) - Events - Event tracking and analysis (
events) - Feedback - User feedback submission (
feedback) - FormAnalytics - Form interaction data (
formAnalytics) - Funnels - Conversion funnel analysis (
funnels) - Goals - Conversion goals and ecommerce (
goals) - HeatmapSessionRecording - Heatmaps and session recordings (
heatmapSessionRecording) - ImageGraph - Static PNG graph generation (
imageGraph) - Insights - Analytical insights generation (
insights) - LanguagesManager - Translations and language settings (
languagesManager) - Live - Real-time visitor data (
live) - Login - Authentication methods (
login) - MarketingCampaignsReporting - Marketing campaign data (
marketingCampaignsReporting) - MediaAnalytics - Media engagement stats (
mediaAnalytics) - MobileMessaging - Mobile messaging integration (
mobileMessaging) - MultiChannelConversionAttribution - Multi-channel attribution (
multiChannelConversionAttribution) - MultiSites - Multi-site summary data (
multiSites) - Overlay - Page overlay reports (
overlay) - PagePerformance - Page load metrics (
pagePerformance) - PrivacyManager - Data privacy management (
privacyManager) - Referrers - Traffic sources (
referrers) - Resolution - Screen resolution reports (
resolution) - RollUpReporting - Roll-up reporting features (
rollUpReporting) - ScheduledReports - Scheduled report management (
scheduledReports) - SearchEngineKeywordsPerformance - SEO keywords (
searchEngineKeywordsPerformance) - SegmentEditor - Segment management (
segmentEditor) - Seo - SEO ranking reports (
seo) - TagManager - Tag manager functionality (
tagManager) - Tour - Guided tour features (
tour) - Transitions - Visitor navigation paths (
transitions) - TwoFactorAuth - Two-factor authentication management (
twoFactorAuth) - UserCountry - Geographic data (
userCountry) - UserId - User ID tracking (
userId) - UserLanguage - Visitor language reports (
userLanguage) - UsersFlow - User flow visualization (
usersFlow) - UsersManager - User management (
usersManager) - VisitFrequency - Visitor frequency metrics (
visitFrequency) - VisitTime - Visitor time reports (
visitTime) - VisitorInterest - Engagement metrics (
visitorInterest) - VisitsSummary - Visit metrics and statistics (
visitsSummary)
And many more modules for comprehensive Matomo API coverage.
MCP Server (@mj-kiwi/matomo-mcp-server)
A Model Context Protocol (MCP) server that acts as a bridge between AI agents (like large language models) and Matomo analytics. This package exposes Matomo Reporting API functionalities as MCP tools.
Features
- Implements the Model Context Protocol specification
- Provides AI agents with direct access to Matomo data
- Easy configuration via environment variables
- Modular design mirroring the Matomo API structure
Implementation Status
Currently, the MCP server has implemented 4 out of 47 Matomo API modules (8.5% complete):
- SitesManager
- TagManager
- Tour
- UserId
More modules are being actively implemented.
Getting Started
Prerequisites
- Node.js (v18 or later recommended)
- npm, yarn, or pnpm
Installation
# Install the reporting client
npm install @mj-kiwi/matomo-client
# Or with yarn
yarn add @mj-kiwi/matomo-client
# Or with pnpm
pnpm add @mj-kiwi/matomo-client
Basic Usage
import { ReportingClient } from '@mj-kiwi/matomo-client';
// Create a reporting client instance
const client = new ReportingClient({
baseUrl: 'https://your-matomo-instance.com',
apiKey: 'your-api-key', // if using token-auth
});
// Fetch site analytics data
const siteData = await client.core.getVisits({
idSite: 1,
period: 'day',
date: 'yesterday',
});
License
MIT