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my-bear-mcp-servermy-bear-mcp-server MCP server

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

my-bear-mcp-server is a Model Context Protocol (MCP) server that allows AI assistants to read notes from the Bear note-taking app. It connects directly to the Bear SQLite database in a read-only mode, ensuring notes remain safe and unmodified. The server provides tools for searching notes, opening notes by title or ID, retrieving tags, and finding notes with specific tags. It's designed for use with AI assistants like Claude and can be installed via GitHub or run locally after cloning the repository.

Key features

Open note by title or ID
Search notes by term or tag
Get all tags in Bear
Open tag to show all notes with a specific tag

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Searching for Notes

Use the AI assistant to find notes containing specific terms, such as 'project management'.

Retrieving a Specific Note

Ask the AI assistant to retrieve a note by title, such as 'Meeting Notes - March 2025'.

Pros & Cons

Pros

Read-only connection ensures notes are not modified or deleted
Simple installation via GitHub or local setup
Provides useful tools for searching and retrieving notes
Compatible with AI assistants like Claude

Cons

Limited to macOS with Bear app installed
Requires Node.js 18 or higher
Only supports read-only operations

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Q&A

Is my-bear-mcp-server compatible with other AI assistants?

my-bear-mcp-server is designed for use with AI assistants like Claude, but compatibility with other AI assistants is not specified.

Asked by Anders Lindgren · Mar 19, 2026

Can I modify notes using my-bear-mcp-server?

No, my-bear-mcp-server only supports read-only operations, ensuring notes remain safe and unmodified.

Asked by Ulla Nielsen · Feb 7, 2026

What are the system requirements?

my-bear-mcp-server requires macOS with the Bear app installed and Node.js 18 or higher.

Asked by Otto Berg · Feb 2, 2026

Is my-bear-mcp-server free?

The website does not mention pricing, but it can be installed via GitHub or run locally after cloning the repository.

Asked by Salome Beridze · Jan 22, 2026

Ask a question

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