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Bear MCP Server

@akseyh

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

akseyh

Bear MCP Server について

MCP Server integration for Bear note app

Bear MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "bear": {
      "command": "npx",
      "args": [
        "bear-mcp-server"
      ]
    }
  }
}

Bear MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Bear MCP Server?

Bear MCP Server is a Model Context Protocol server that provides AI assistants access to notes stored in the Bear Notes application on macOS. It works by running SQL queries directly on Bear's SQLite database.

How to use Bear MCP Server?

Clone the repository, install dependencies with npm install, and build with npm run build. Then configure your MCP client (e.g., Claude Desktop) using either the Docker or NPM configuration in your claude_desktop_config.json. Once started, three tools become available: get_notes, get_tags, and get_notes_like.

Key features of Bear MCP Server

  • Read all notes from Bear
  • Search notes by text content
  • List all tags used in notes
  • Uses Bear's local SQLite database
  • No external API required

Use cases of Bear MCP Server

  • Quickly retrieve all Bear notes from an AI assistant
  • Find notes containing specific keywords or phrases
  • List all tags to organize or categorize your notes

よくある質問

1

Where are Bear's notes stored?

Bear stores notes in a local SQLite database on your macOS machine. The exact location is provided in Bear's FAQ.

2

What are the system requirements?

You need Node.js, the Bear note application (macOS), and access to the Bear database file.

3

How do I configure Bear MCP Server with Claude Desktop?

Add the Docker or NPM entry to your `claude_desktop_config.json` as shown in the installation instructions.

4

What MCP tools does the server expose?

Three tools: `get_notes` (retrieves all notes), `get_tags` (lists all tags), and `get_notes_like` (searches notes for specific text).

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