mcpField
B
Bear App MCP

Bear App MCP

Local
github.com/sachin-philipProductivity2Updated 80w ago

About Bear App MCP

Bear App MCP is an MCP server for Bear, aimed at people working with notes and prose. It offers tools to list and filter notes, retrieve short content previews, and move notes to the trash.

Key features

  1. 01List notes by update date
  2. 02Filter notes by tag
  3. 03Read first five lines and update time
  4. 04Move a specified note to trash

Use cases

  1. 01Review recently updated Bear notes
  2. 02Find notes with a specific tag
  3. 03Preview the beginning of a note
  4. 04Remove a specified note from Bear

MCP support

The MCP server provides clients with tools to list, filter, preview, and delete Bear notes.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Bear App MCP

A Python-based MCP (Machine Control Protocol) interface for Bear, the beautiful, flexible writing app for notes and prose.

Features

This MCP provides the following tools to interact with Bear:

  1. Get List of Notes

    • Retrieve the latest notes sorted by update date
    • Specify the number of notes to return
    • Returns note titles with their last update timestamps
  2. Get Notes by Tag

    • Filter notes by a specific tag
    • Returns all notes with the specified tag, sorted by update date
    • Tags should include the '#' prefix (e.g., '#work')
  3. Get Note Summary

    • Retrieve the content of a specific note by title
    • Returns the first 5 lines of the note's content
    • Includes the note's last update timestamp
  4. Delete Note

    • Delete a specific note by title
    • Marks the note as trashed in Bear
    • Returns success/failure message

Prerequisites

  1. Python 3.11
  2. Install UV curl -LsSf https://astral.sh/uv/install.sh | sh
  3. Install Dependancy uv activate && uv install
MCP Server Configuration

Add the following to your MCP config:

{
  "mcpServers": {
    "Raindrop": {
      "command": "uv",
      "args": [
        "--directory",
        "<location to project clone>",
        "run",
        "bear.py"
      ],
      "env": {
      }
    }
  }
}

License

MIT License - See LICENSE file for details

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.