# digital-brain

> Use this tool when you need to retrieve specific information from your local browsing history, such as searching for previously visited websites or recalling answers to frequently asked questions. It solves problems like lost bookmarks, forgotten search queries, and unclear browsing patterns by providing keyword search, RAG Q&A, and activity statistics. The digital-brain tool takes in search queries and keywords as inputs and outputs relevant browsing history results and insights.

Canonical page: https://skillsregistry.net/skills/arpitasethi-12-digital-brain  
JSON: https://api.skillsregistry.net/v1/skills/arpitasethi-12-digital-brain

## Description

Enables AI assistants to query your local browsing history using keyword search, RAG Q&A, and activity stats.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jkxzvxtnu8)
- **Repository:** <https://github.com/ArpitaSethi-12/digital-brain>

## 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": "arpitasethi-12-digital-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arpitasethi-12-digital-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arpitasethi-12-digital-brain/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