# Bear Notes

> Use this tool when you need to access and analyze personal notes stored in Bear App on macOS, leveraging natural language queries to search, retrieve, and examine notes by content, title, or tags. It solves problems of knowledge retrieval and code discovery for developers and technical users, providing outputs such as note metadata, code blocks, and recently modified notes. Ideal for AI assistants looking to integrate with Bear App's SQLite database to enhance workflows without leaving conversation context.

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

## Description

This Bear Notes MCP server provides direct access to Bear App's SQLite database on macOS, enabling AI assistants to search, retrieve, and analyze personal notes through natural language queries. Built with FastMCP and Python, it offers specialized tools for finding notes by content, title, or tags, extracting code blocks from technical notes, discovering Kubernetes manifests and programming examples, and retrieving recently modified notes with full metadata including word counts and creation dates. The implementation is particularly valuable for developers and technical users who store code snippets, documentation, and project notes in Bear and want to leverage AI assistance for knowledge retrieval and code discovery workflows without leaving their conversation context.

## Trust

- **Trust score (0–1):** 0.95
- **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/netologist-bear-notes)
- **Repository:** <https://github.com/netologist/mcp-bear-notes>

## 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": "netologist-bear-notes"
    }
  }
}
```

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