# Browser History Analysis

> Use this tool when you need to analyze browser history for productivity insights and browsing pattern understanding. It retrieves data from Firefox and Chrome browsers, categorizes websites across multiple domains, and provides metrics such as focus scoring and learning path detection. By utilizing this tool, users can gain a deeper understanding of their browsing habits and optimize their productivity workflows through conversational analysis of their browser history data.

Canonical page: https://skillsregistry.net/skills/browser-history-analysis  
JSON: https://api.skillsregistry.net/v1/skills/browser-history-analysis

## Description

Browser History Analysis MCP server by Eleanor Mazzarella that provides AI assistants with access to local Firefox and Chrome browser history for productivity analysis and browsing pattern insights. The implementation uses SQLite database access to retrieve browsing data, categorizes websites across 12+ domains (social media, development, education, entertainment, etc.), and performs session analysis with productivity metrics, focus scoring, and learning path detection. Built with comprehensive analysis tools including domain statistics, time pattern analysis, rabbit hole detection, and research session identification, it serves users wanting to understand their browsing habits, optimize productivity workflows, or gain insights into their digital consumption patterns through conversational analysis of their browser history data.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-12

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/browser-history-analysis)
- **Repository:** <https://github.com/mixophrygian/browser_history_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": "browser-history-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/browser-history-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/browser-history-analysis/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