Bear MCP Server

Name: Bear MCP Server
Author: akseyh

@akseyh

Repository

About Bear MCP Server

MCP Server integration for Bear note app

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from Bear MCP Server

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.

What are the system requirements?

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

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.

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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