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akseyh/bear-mcp-server

The bear-mcp-server bridges the gap between LLMs and Bear Notes, providing a standardized interface for AI models to interact with your local macOS knowledge base. Instead of manually copying and pasting notes, this MCP implementation allows the model to query, read, and retrieve specific content directly from your Bear library. For developers building personal productivity workflows or RAG-like systems on macOS, this tool transforms Bear from a static markdown editor into a dynamic context source. It integrates seamlessly with any MCP-compliant host, enabling the AI to reference your private documentation or project notes in real-time without requiring complex API middleware.

Open ecosystemGeneral
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01 / SERVER DETAIL

Server detail

The bear-mcp-server bridges the gap between LLMs and Bear Notes, providing a standardized interface for AI models to interact with your local macOS knowledge base. Instead of manually copying and pasting notes, this MCP implementation allows the model to query, read, and retrieve specific content directly from your Bear library. For developers building personal productivity workflows or RAG-like systems on macOS, this tool transforms Bear from a static markdown editor into a dynamic context source. It integrates seamlessly with any MCP-compliant host, enabling the AI to reference your private documentation or project notes in real-time without requiring complex API middleware.

An MCP server that exposes akseyh/bear-mcp-server capabilities to MCP-compatible AI clients.

CapabilitiesGeneralMCPOpen source
ProtocolModel Context Protocol
Developer ecosystemOpen ecosystem
LicenseMIT / check source
SourceGitHub
COLLECTIONS

Collections featuring this MCP

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02 / TOOL TESTING

Tool testing

AVAILABLE TOOL

akseyh-bear-mcp-server

Callable

Call the MCP capabilities provided by akseyh/bear-mcp-server and return a structured result.

PARAMETERS
inputPass arguments according to the server tool schema.
Tip: the tool may truncate responses. Use pagination parameters such as start_index to read long content in chunks.
03 / SERVICE CONFIGURATION

Connection modes

Remote
{
  "mcpServers": {
    "akseyh/bear-mcp-server": {
      "url": "Generated by the provider after deployment"
    }
  }
}

The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.

03 / WORKFLOW

How to use

  1. 01
    Step 1

    Review server capabilities and permission scope.

  2. 02
    Step 2

    Copy the install command or JSON configuration.

  3. 03
    Step 3

    Run a small connection test in your client.

  4. 04
    Step 4

    Adopt it long term only after reviewing access and maintenance.

04 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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