# bear-mcp

> Use this tool when you need to integrate AI assistants with Bear notes, enabling seamless reading and writing of notes using SQLite queries and secure x-callback-url writes. It solves problems of data synchronization and accessibility between AI agents and Bear notes. Ideal for use cases requiring automated note management, data extraction, or content generation within the Bear ecosystem.

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

## Description

Enables AI assistants to read and write Bear notes using SQLite for queries and x-callback-url for safe writes.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/us6w13xlck)
- **Repository:** <https://github.com/lestroos/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": "lestroos-bear-mcp"
    }
  }
}
```

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