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mcp-apple-notes-fixed

MCP.Pizza Chef: Tom-Semple

mcp-apple-notes-fixed is an MCP server that provides semantic and full-text search over Apple Notes using on-device embeddings and LanceDB vector storage. It integrates natively with Apple Notes via JXA, enabling AI assistants like Claude to reference your notes during conversations. The server runs fully locally without requiring API keys, ensuring privacy and seamless AI integration.

Use This MCP server To

Perform semantic search over Apple Notes content Enable AI assistants to reference Apple Notes in conversations Run local vector search without external API dependencies Integrate Apple Notes data into AI workflows via MCP Use full-text search to quickly find relevant notes Store and query note embeddings with LanceDB Support retrieval-augmented generation (RAG) with Apple Notes Enable private, local AI access to personal Apple Notes

README

MCP Apple Notes

MCP Apple Notes

A Model Context Protocol (MCP) server that enables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes. This allows AI assistants like Claude to search and reference your Apple Notes during conversations.

MCP Apple Notes

Features

  • 🔍 Semantic search over Apple Notes using all-MiniLM-L6-v2 on-device embeddings model
  • 📝 Full-text search capabilities
  • 📊 Vector storage using LanceDB
  • 🤖 MCP-compatible server for AI assistant integration
  • 🍎 Native Apple Notes integration via JXA
  • 🏃‍♂️ Fully local execution - no API keys needed

Prerequisites

Installation

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

Usage

  1. Open Claude desktop app and go to Settings -> Developer -> Edit Config

Claude Desktop Settings

  1. Open the claude_desktop_config.json and add the following entry:
{
  "mcpServers": {
    "local-machine": {
      "command": "/Users/<YOUR_USER_NAME>/.bun/bin/bun",
      "args": ["/Users/<YOUR_USER_NAME>/apple-notes-mcp/index.ts"]
    }
  }
}

Important: Replace <YOUR_USER_NAME> with your actual username.

  1. Restart Claude desktop app. You should see this:

Claude MCP Connection Status

  1. Start by indexing your notes. Ask Claude to index your notes by saying something like: "Index my notes" or "Index my Apple Notes".

Troubleshooting

To see logs:

tail -n 50 -f ~/Library/Logs/Claude/mcp-server-local-machine.log
# or
tail -n 50 -f ~/Library/Logs/Claude/mcp.log

Todos

  • Apple notes are returned in the HTML format. We should turn them to Markdown and embed that
  • Chunk source content using recursive text splitter or markdown text splitter
  • Add an option to use custom embeddings model
  • More control over DB - purge, custom queries, etc.
  • Storing notes in Notes via Claude

mcp-apple-notes-fixed FAQ

How does mcp-apple-notes-fixed perform semantic search?
It uses the all-MiniLM-L6-v2 on-device embeddings model to create vector representations of Apple Notes for semantic search.
Does mcp-apple-notes-fixed require internet or API keys?
No, it runs fully locally with no API keys needed, ensuring privacy and offline functionality.
How does mcp-apple-notes-fixed integrate with Apple Notes?
It uses JXA (JavaScript for Automation) to natively access and interact with Apple Notes on macOS.
What vector database does mcp-apple-notes-fixed use?
It uses LanceDB for efficient vector storage and retrieval of note embeddings.
Can mcp-apple-notes-fixed be used with AI assistants other than Claude?
Yes, it is MCP-compatible and can integrate with any AI assistant supporting the Model Context Protocol.
What are the prerequisites for running mcp-apple-notes-fixed?
You need Bun runtime installed and an AI assistant like Claude Desktop to interact with the server.
Is the search limited to semantic search only?
No, it supports both semantic search and traditional full-text search over Apple Notes.
How secure is the data handled by mcp-apple-notes-fixed?
Since it runs fully locally without external API calls, your Apple Notes data remains private and secure.