# Mixpanel

> Use this tool when you need to analyze user behavior and track key metrics in your product, such as funnels, retention, and events. It solves problems related to understanding user engagement, identifying drop-off points, and measuring the effectiveness of features. By inputting queries and filters, you can output actionable reports and insights to inform product decisions.

Canonical page: https://skillsregistry.net/skills/mixpanel  
JSON: https://api.skillsregistry.net/v1/skills/mixpanel

## Description

Query product analytics data — funnels, retention, and user behavior. Build reports, inspect events, and track key metrics over time.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mixpanel)

## 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": "mixpanel"
    }
  }
}
```

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