MCP Bear
A Python-based MCP server that provides read and write access to Bear Notes on macOS using SQLite for data retrieval and x-callback-url for modifications. It enables users to search, create, archive, and manage notes and tags directly through a Model Context Protocol interface.
README
MCP Bear
A Python-based Model Context Protocol (MCP) server that provides access to Bear Notes.
Bear stores notes in a SQLite database. This MCP server provides both read and write access to your notes. See: https://bear.app/faq/where-are-bears-notes-located
Features
Read Operations
- Read all notes (active and archived) from Bear's SQLite database
- Search notes by text content, tag, or unique ID
- List all tags
- Get notes by specific tag
- Get archived notes separately
Note Management
- Create new notes with title, content, and tags
- Append, prepend, or replace text in existing notes
- Archive/unarchive notes for organization
- Move notes to trash
Tag Management
- Add tags to existing notes
- Rename tags across all notes
- Open Bear showing notes with specific tag
Bear Integration
- Open specific notes in Bear
- Search within Bear app
- All operations integrate seamlessly with Bear's UI
Write operations use Bear's official x-callback-url API for safe, reliable modifications.
Requirements
- Python 3.10 or higher (tested with 3.14)
- Bear note application (macOS)
- Access to Bear database
Installation
Development Setup
# Clone the repository
git clone https://github.com/maxim-ist/mcp-bear.git
cd mcp-bear
# Install dependencies (using mise for Python version management)
mise install
mise exec -- python -m venv .venv
.venv/bin/pip install -e .
Install via pip (when published)
pip install mcp-bear
Claude Desktop Configuration
Add this to your claude_desktop_config.json:
Using Python directly
{
"mcpServers": {
"bear": {
"command": "python",
"args": [
"-m",
"mcp_bear.server"
],
"env": {
"PYTHONPATH": "/Users/YOUR_USERNAME/Work/mcp-bear/src"
}
}
}
}
Using installed package
{
"mcpServers": {
"bear": {
"command": "mcp-bear"
}
}
}
Available Tools
When the server is started, the following MCP tools become available:
Read Operations (Basic)
get_notes: Retrieves all non-archived notesget_tags: Lists all tagsget_notes_like: Searches for notes containing specific text
Read Operations (Advanced)
get_note_by_id: Get a specific note by its unique identifierget_notes_by_tag: Get all notes with a specific tagget_archived_notes: Get all archived notes
Note Management
create_note: Create a new note with optional title, text, tags, and pin statusadd_text: Add text to an existing note (append, prepend, or replace)trash_note: Move a note to trasharchive_note: Archive a note (removes from main list, keeps searchable)unarchive_note: Unarchive a note
Tag Management
add_tags: Add tags to an existing noteopen_tag: Open Bear and show all notes with a specific tagrename_tag: Rename a tag across all notes
Bear Integration
open_note: Open a specific note in Bearsearch_bear: Open Bear and show search results for a term
All write operations use Bear's official x-callback-url scheme, which requires Bear to be installed and running.
Configuration
You can override the default Bear database path by setting the DB_ROUTE environment variable:
export DB_ROUTE="/path/to/custom/database.sqlite"
Development
Running the server directly
cd /Users/borag/Work/mcp-bear
.venv/bin/python -m mcp_bear.server
Testing with MCP Inspector
# Install the MCP inspector
pip install mcp-inspector
# Run the inspector
mcp-inspector python -m mcp_bear.server
Architecture
mcp_bear/server.py: Main MCP server implementationmcp_bear/database.py: SQLite database access for read operationsmcp_bear/bear_url.py: Bear x-callback-url operations for write operations- Uses Python's built-in
sqlite3module (no native dependencies)
Security Note
This server uses parameterized SQL queries to prevent SQL injection attacks, improving upon the original TypeScript implementation.
License
ISC
Author
Bora Gonul me@boragonul.com
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.