# Umami Analytics

> Use this tool when you need to analyze website performance and user behavior, as it provides a bridge to Umami analytics data, enabling retrieval of website statistics, metrics, and user session information. It solves problems related to understanding user journeys and optimizing website performance through data-driven insights. With inputs from the Umami API and outputs including website statistics and user behavior data, it's ideal for use cases involving custom analytics dashboards and performance improvement.

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

## Description

This MCP server implementation provides a bridge to Umami analytics data, enabling AI assistants to analyze website performance and user behavior. Developed by jakeyShakey, it offers tools for retrieving website statistics, metrics, pageview data, and user session information. The server integrates with the Umami API and incorporates semantic search capabilities for efficient analysis of user journeys. It also features web crawling functionality to capture screenshots and HTML source code of webpages. Built with Python and designed for easy setup within Claude Desktop, this implementation is particularly useful for generating data-driven insights, creating custom analytics dashboards, and improving website performance based on user interaction patterns.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jakeyshakey-umami-analytics)
- **Repository:** <https://github.com/jakeyshakey/umami_mcp_server>

## 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": "jakeyshakey-umami-analytics"
    }
  }
}
```

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