# second-brain-worker

> Use this tool when you need to efficiently manage and search your personal knowledge base, retrieving and reindexing information from Obsidian wiki and external files. It solves problems of information overload and difficult knowledge retrieval, providing a hybrid semantic and keyword search functionality. The tool accepts inputs from various file sources and outputs relevant search results via the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/50r1paps-second-brain-worker  
JSON: https://api.skillsregistry.net/v1/skills/50r1paps-second-brain-worker

## Description

Provides tools to retrieve, ingest, and reindex a serverless personal knowledge base built from Obsidian wiki and external files, with hybrid semantic + keyword search via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qg3sa3stij)
- **Repository:** <https://github.com/50R1Paps/second-brain-worker>

## 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": "50r1paps-second-brain-worker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/50r1paps-second-brain-worker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/50r1paps-second-brain-worker/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