# Matomo MCP Server

> Use this tool when you need to integrate large language models (LLMs) with Matomo analytics for seamless data retrieval and reporting. It solves problems related to accessing historical trends, report metadata, and chart images by providing a direct query interface. The Matomo MCP Server takes LLM queries as input and outputs relevant analytics data, making it ideal for use cases that require dynamic reporting and data analysis.

Canonical page: https://skillsregistry.net/skills/alexgenovese-matomo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alexgenovese-matomo-mcp

## Description

Enables LLMs to directly query a Matomo analytics instance, execute reporting methods, fetch historical trends, report metadata, and dynamically generated chart images through typed MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r2l90chxd9)
- **Repository:** <https://github.com/alexgenovese/matomo-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alexgenovese-matomo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexgenovese-matomo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexgenovese-matomo-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt