# Bear

> Use this tool when you need to access and analyze your Bear notes without modifying them, and leverage its search, retrieval, and browsing capabilities to discover new connections and insights. It solves problems related to note discovery, research workflows, and content analysis by providing a read-only interface to your Bear notes through SQLite database queries. With inputs including text or tags and outputs such as note previews and tagged note lists, use Bear to streamline your personal knowledge base management and research processes.

Canonical page: https://skillsregistry.net/skills/quanticsoul4772-bear  
JSON: https://api.skillsregistry.net/v1/skills/quanticsoul4772-bear

## Description

A read-only MCP server that provides direct access to Bear notes through SQLite database queries, enabling search, retrieval, and browsing of Bear's note collection without modifying any content. The implementation connects to Bear's local SQLite database, extracts tags from note content using regex parsing, and offers four core tools: searching notes by text or tags with previews, opening complete notes by title or ID, browsing all available tags grouped by frequency, and listing all notes with specific tags. Built with TypeScript and better-sqlite3, it handles Bear's Core Data timestamp format and supports custom database paths, making it useful for note discovery, research workflows, and content analysis across personal knowledge bases stored in Bear.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/quanticsoul4772-bear)
- **Repository:** <https://github.com/quanticsoul4772/bear-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": "quanticsoul4772-bear"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quanticsoul4772-bear` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quanticsoul4772-bear/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