# Umami Analytics

> Use this tool when you need to analyze and manage website data, track user behavior, and generate custom reports. It solves problems related to website management, analytics, and user tracking, providing insights to inform data-driven decisions. With support for self-hosted and cloud instances, it offers a flexible interface for inputs such as event data and outputs like customized reports and real-time monitoring dashboards.

Canonical page: https://skillsregistry.net/skills/mikusnuz-umami  
JSON: https://api.skillsregistry.net/v1/skills/mikusnuz-umami

## Description

Provides full-coverage access to the Umami Analytics API v2 with 66 tools spanning website management, analytics queries, session tracking, event sending, report generation, user and team administration, and real-time monitoring. Supports both self-hosted and Umami Cloud instances with dual authentication methods. Enables server-side event tracking, batch event sending, custom report creation, and complete CRUD operations for websites and analytics data.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mikusnuz-umami)
- **Repository:** <https://github.com/mikusnuz/umami-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": "mikusnuz-umami"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mikusnuz-umami` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mikusnuz-umami/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