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@iflow-mcp/mj-kiwi-matomo-mcp-server

v0.1.3

Published

Model Context Protocol server for Matomo analytics integration

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Links

Git

Maintainers

chatflowdevchatflowdevqystartqystart

Keywords

matomoanalyticsmcpmodel-context-protocolaiservertracking

Readme

Matomo MCP Server

⚠️ This package is currently under construction and may not be fully functional. ⚠️

This package implements a Model Context Protocol (MCP) server that acts as a bridge between an AI agent (like a large language model) and a Matomo analytics instance. It exposes Matomo Reporting API functionalities as MCP tools.

Configuration

The server requires connection details for your Matomo instance. Configure these using environment variables:

  • MATOMO_URL: The base URL of your Matomo instance (e.g., https://your-matomo.example.com).
  • MATOMO_AUTH_TOKEN: Your Matomo API authentication token.
  • MATOMO_DEFAULT_SITE_ID: (Optional) The default Matomo site ID to use if not specified in a tool call. Defaults to 1.

If these variables are not set, the server will use placeholder values and print a warning.

Running the Server

You can run the server directly using Node.js:

node build/index.js

Or, if you have configured it as an executable in package.json:

matomo-mcp-server

The server communicates over standard input/output (stdio).

Available Tools

Module Implementation Status

Below is a checklist showing the implementation status of all Matomo API modules in the MCP server:

  • [X] SitesManager
  • [ ] AbTesting
  • [ ] Actions
  • [ ] ActivityLog
  • [ ] AdvertisingConversionExport
  • [ ] Annotations
  • [ ] Api
  • [ ] ConnectAccounts
  • [ ] Contents
  • [ ] CoreAdminHome
  • [ ] CrashAnalytics
  • [ ] CustomAlerts
  • [ ] CustomDimensions
  • [ ] CustomJsTracker
  • [ ] CustomReports
  • [ ] CustomVariables
  • [ ] Dashboard
  • [ ] DevicePlugins
  • [ ] DevicesDetection
  • [ ] Events
  • [ ] Feedback
  • [ ] FormAnalytics
  • [ ] Funnels
  • [ ] Goals
  • [ ] HeatmapSessionRecording
  • [ ] ImageGraph
  • [ ] Insights
  • [ ] LanguagesManager
  • [ ] Live
  • [ ] Login
  • [ ] MarketingCampaignsReporting
  • [ ] MediaAnalytics
  • [ ] MobileMessaging
  • [ ] MultiChannelConversionAttribution
  • [ ] MultiSites
  • [ ] Overlay
  • [ ] PagePerformance
  • [ ] PrivacyManager
  • [ ] Referrers
  • [ ] Resolution
  • [ ] RollUpReporting
  • [ ] ScheduledReports
  • [ ] SearchEngineKeywordsPerformance
  • [ ] SegmentEditor
  • [ ] Seo
  • [X] TagManager
  • [X] Tour
  • [ ] Transitions
  • [ ] TwoFactorAuth
  • [ ] UserCountry
  • [X] UserId
  • [ ] UserLanguage
  • [ ] UsersFlow
  • [ ] UsersManager
  • [ ] VisitFrequency
  • [ ] VisitTime
  • [ ] VisitorInterest
  • [ ] VisitsSummary

Overall progress: 4 modules implemented out of 47 total modules (8.5% complete).