B

Bear MCP Server

MCP server project for Bear notes
2.5 points
40

What is the Bear MCP Server?

The Bear MCP Server is a tool based on the Model Context Protocol (MCP) that allows users to access the content in the Bear note - taking app through SQL queries. It supports reading notes, searching for specific text, and listing all tags.

How to use the Bear MCP Server?

You can set up and start using the server in just a few steps. First, install the necessary dependencies, then start the server, and finally configure it in Claude Desktop.

Applicable Scenarios

Suitable for users who need to efficiently manage and retrieve a large amount of note content, such as writers, researchers, or students.

Main Features

Read NotesGet all note content from the Bear database.
Search NotesSearch for notes containing relevant content based on specified keywords.
List All TagsDisplay all tags in Bear notes.

Advantages and Limitations

Advantages
Quick access to Bear note content
Support for complex SQL queries
Easy integration into existing systems
Limitations
Requires local installation of the Bear app
May have high performance requirements

How to Use

Clone the Project Repository
Use Git to clone the code repository of the Bear MCP Server.
Install Dependencies
Run npm install after entering the project directory to install the required dependencies.
Build the Project
Execute the npm run build command to generate a runnable file.
Start the Server
Ensure that the Docker or Node.js environment is ready, and then start the server.

Usage Examples

Search for notes related to career developmentSuppose you want to find notes related to career development, you can use the following command.
List all tagsGet all note tags in Bear to facilitate subsequent classification and management.

Frequently Asked Questions

How to configure the Bear MCP Server in Claude Desktop?
Why do you need to access the Bear database?
Does it support multiple platforms?

Related Resources

Bear MCP GitHub Repository
The project's source code and documentation.
Bear Official Documentation
Understand the basic information and storage location of Bear notes.
Claude Desktop Configuration Guide
How to correctly configure the MCP Server in Claude Desktop.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
207
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
377
4 points
M
MCP Notion Server
Certified
The Notion MCP Server is a middleware service that connects the Notion API with the LLM, optimizing interaction efficiency through Markdown conversion.
TypeScript
745
5 points
M
MCP Obsidian
This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.
Python
885
5 points
M
MCP Atlassian
MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.
Python
1.3K
5 points
M
MCP Logseq Server
An MCP server for interacting with the LogSeq note-taking app, providing various API tools to operate on note content.
Python
318
4.1 points
S
Solana Docs MCP Server
A TypeScript-based MCP server that implements a simple note system and supports note creation and summarization functions
TypeScript
120
4.2 points
U
UI TARS Desktop
Certified
Changesets is an automated tool to help manage the version control and release process of multi-package or single-package codebases.
TypeScript
13.0K
5 points
Featured MCP Services
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase