# Bear

> Use this tool when you need to integrate AI models with Bear note-taking software for automated note management, search, and organization. It provides a standardized interface for interacting with Bear, enabling operations like note creation, tagging, and information retrieval. This server is ideal for users seeking to enhance personal knowledge management through AI-powered interactions with Bear.

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

## Description

This MCP server, developed by Junpei Kawamoto, provides a standardized interface for interacting with Bear note-taking software. Built with Python and leveraging FastAPI, it offers tools for managing notes, tags, and other Bear-specific features. The implementation focuses on exposing Bear's functionality through a consistent MCP interface, enabling AI models to perform note creation, search, and organization operations. By connecting AI assistants with Bear's robust note-taking capabilities, this server facilitates sophisticated knowledge management scenarios like automated note creation, content categorization, and information retrieval. It's particularly valuable for users and applications aiming to enhance personal knowledge management through AI-powered interactions with Bear.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jkawamoto-bear)
- **Repository:** <https://github.com/jkawamoto/mcp-bear>

## 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": "jkawamoto-bear"
    }
  }
}
```

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