Bear MCP Server

The Mcp Server Bear turns the macOS‑only note‑taking app Bear into a first‑class AI‑powered knowledge base. By exposing Bear’s native API over the Model Context Protocol, developers can let Claude, Cursor AI, OpenAI or any MCP‑compliant client create, open and search notes through conversational commands. This bridges the gap between a local, feature‑rich markdown editor and cloud‑agnostic AI assistants, enabling seamless data flow without manual copy‑pasting or screen‑scraping.

At its core the server implements three intuitive tools:

• write_note writes a new markdown note, accepting a title, body and optional tags.
• open_note brings an existing note into focus by title or unique identifier, allowing the assistant to display or edit it.
• search_notes retrieves notes matching a keyword, optionally filtered by tag, returning structured results the client can present or manipulate further.
  These actions are wrapped in a simple JSON schema, so any MCP client can invoke them with natural language prompts such as “Summarize our discussion and save it to Bear” or “Find the latest note about project X”.

For developers, this server solves a common pain point: keeping AI‑generated insights and local notes in sync. Instead of manually exporting text or toggling between applications, a single conversation can create a new note, tag it for later retrieval, or pull up an existing one for review. The markdown support preserves formatting, code blocks and links, ensuring that the output remains readable in Bear’s native interface. Integration is straightforward—configure the server once in your MCP client, and all subsequent interactions automatically route through Bear’s API.

Real‑world scenarios include meeting minutes transcription, code snippet collection, research notes aggregation, and personal knowledge management. Teams can let AI draft emails or documentation directly into Bear, while solo developers keep a running log of debugging sessions. Because the server runs locally on macOS and relies only on Bear’s official API, it respects privacy and avoids cloud‑based data exposure.

Overall, Mcp Server Bear offers a lightweight, developer‑friendly bridge between powerful language models and a beloved markdown tool. Its clear command set, native macOS support, and seamless integration make it an attractive addition to any AI workflow that values structured, searchable notes.