MCP Apple Notes

MCP Apple Notes

A Model Context Protocol server that enables semantic search and retrieval of Apple Notes content, allowing AI assistants to access, search, and create notes using on-device embeddings.

Dingzeefs

Note Taking
Search
Knowledge & Memory
Visit Server

README

MCP Apple Notes

A Model Context Protocol (MCP) server for semantic search and retrieval over Apple Notes.

Features

  • 🔍 Semantic search using on-device embeddings model
  • 📝 Full-text search capabilities
  • 💾 Vector storage with LanceDB
  • 🍎 Native Apple Notes integration

Prerequisites

  • macOS (required for Apple Notes integration)
  • Bun JavaScript runtime

Installation

  1. Clone this repository:
git clone https://github.com/Dingzeefs/mcp-apple-notes.git
cd mcp-apple-notes
  1. Install dependencies:
bun install

Usage

Configuring in Cursor IDE

  1. Open Cursor IDE

  2. Go to Settings → Features → MCP

  3. Add a new MCP server with the following configuration:

    • Name: Apple Notes
    • Type: command
    • Command: /path/to/bun /path/to/mcp-apple-notes/index.ts

    Replace /path/to/bun with the actual path to your Bun executable (find it using which bun) and /path/to/mcp-apple-notes with the actual path to this repository.

  4. Restart Cursor IDE

Using the MCP Server

Once configured, you can use the following tools in your conversations with Claude:

  • list-notes: Lists all your Apple Notes titles
  • index-notes: Indexes your notes for semantic search (do this first)
  • get-note: Retrieves a specific note by title
  • search-notes: Searches your notes using semantic or keyword search
  • create-note: Creates a new note with specified title and content

Troubleshooting

If you encounter issues:

  1. Check that the server is running by looking at the MCP server status in Cursor
  2. Verify that the paths in your MCP server configuration are correct
  3. Try running the command directly in your terminal to see any error messages
  4. Make sure Apple Notes is accessible and permissions are granted

License

MIT

Recommended Servers

Kagi MCP Server

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.

Official
Featured
Python
graphlit-mcp-server

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.

Official
Featured
TypeScript
Exa Search

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.

Official
Featured
Apple MCP Server

Apple MCP Server

Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.

Featured
Local
TypeScript
Tavily MCP Server

Tavily MCP Server

Provides AI-powered web search capabilities using Tavily's search API, enabling LLMs to perform sophisticated web searches, get direct answers to questions, and search recent news articles.

Featured
Python
mixpanel

mixpanel

Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.

Featured
TypeScript
Todoist MCP

Todoist MCP

An MCP server that enables LLMs to interact with Todoist tasks, projects, and other features through the Todoist API.

Featured
TypeScript
Notion API MCP Server

Notion API MCP Server

Enables advanced todo list management and content organization using Notion's API, supporting features like creating databases, dynamic filtering, and collaborative task tracking.

Featured
Python
Airtable MCP Server

Airtable MCP Server

A Model Context Protocol server that provides tools for programmatically managing Airtable bases, tables, fields, and records through Claude Desktop or other MCP clients.

Featured
JavaScript
Sequential Thinking MCP Server

Sequential Thinking MCP Server

This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Featured
Python