Apple Reminders MCP Server

Apple Reminders MCP Server

MCP server enabling AI assistants to create, read, list, and delete Apple Reminders on macOS via AppleScript.

Category
访问服务器

README

Apple Reminders MCP Server

PyPI version Python 3.10+ Apache 2.0 Tests

A Model Context Protocol (MCP) server that enables AI assistants to interact with Apple Reminders on macOS. This server provides tools to create, read, list, and delete reminders programmatically through AppleScript.

Features

  • ✅ Create reminders with due dates, times, notes, and locations
  • 📋 List all reminder lists
  • 🔍 Fetch reminders from specific lists (completed or pending)
  • 🗑️ Delete reminders by name
  • 🤖 Compatible with Claude Desktop and other MCP clients
  • 🍎 Native macOS integration via AppleScript
  • 🔒 Input sanitization to prevent AppleScript injection

Demo

https://github.com/user-attachments/assets/d36e0df3-ff4b-4f48-bb29-41ddb5483c6b

Prerequisites

  • macOS (required for AppleScript)
  • Python 3.10 or higher
  • Apple Reminders app

Installation

Option 1: Install from PyPI (Recommended)

pip install apple-reminders-mcp

Option 2: Install from source

git clone https://github.com/shreyanshjain05/apple_reminder_mcp_server.git
cd apple_reminder_mcp_server
pip install -e .

Usage

Running the Server

If installed via pip:

apple-reminders-mcp

Or run directly:

python -m apple_reminders_mcp.server

Testing with MCP Inspector

npx @modelcontextprotocol/inspector python3 server.py

This will:

  • Start a proxy server on localhost:6277
  • Open the inspector interface in your browser at http://localhost:6274
  • Display a session token for authentication

Integration with Claude Desktop

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "apple-reminders": {
      "command": "python3",
      "args": ["/path/to/apple_reminder_mcp_server/server.py"]
    }
  }
}

Note: Replace /path/to/ with the actual path where you cloned the repo. If you get "Server disconnected" errors, use the full path to your Python executable (run which python3 to find it).

Available Tools

1. create_reminder

Creates a new reminder in Apple Reminders.

Parameters:

  • title (required): The title of the reminder
  • due_date (required): Due date (e.g., "2024-12-25", "tomorrow", "next Friday")
  • due_time (optional): Time in HHMMSS format (default: 090000 for 9 AM)
  • notes (optional): Additional notes/body text
  • list_name (optional): Target list name (default: "Reminder Created using Agent")
  • location (optional): Location for location-based reminders

Example:

{
  "title": "Team Meeting",
  "due_date": "tomorrow",
  "due_time": "140000",
  "notes": "Discuss Q1 goals",
  "list_name": "Work"
}

2. get_reminder

Fetches reminders from a specific list.

Parameters:

  • list_name (required): Name of the reminder list
  • completed (optional): Whether to fetch completed reminders (default: false)
  • limit (optional): Maximum number of reminders to return (default: 20)

3. list_reminder_lists

Returns all available reminder lists. No parameters required.

4. delete_reminder

Deletes a reminder by name.

Parameters:

  • name (required): The exact name of the reminder to delete
  • list_name (optional): Specific list to search in (searches all lists if not provided)

Troubleshooting

Common Issues

  1. Permission errors with AppleScript

    • Grant Terminal/IDE permission to control Reminders in System Preferences → Security & Privacy → Automation
  2. "No reminder list found" error

    • Make sure the list name exactly matches (case-sensitive)
    • Use list_reminder_lists to see available lists
  3. Date parsing errors

    • Use standard formats like "YYYY-MM-DD" or natural language like "tomorrow"

Development

Running Tests

pip install -e ".[dev]"
pytest tests/ -v

Project Structure

apple_reminder_mcp_server/
├── .github/workflows/
│   ├── test.yml           # CI testing
│   └── publish.yml        # PyPI publishing
│── __init__.py
├── pyproject.toml         # Package configuration
├── server.py              # Main MCP server implementation
└── README.md 
├── tests/
│   ├── __init__.py
│   └── test_server.py     # Unit tests

Contributing

See CONTRIBUTING.md for guidelines.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

Acknowledgments


<p align="center"> <br><br> ⭐ Star this repo if you find it useful! <br><br> ☕ You can also support me on Ko-fi: https://ko-fi.com/shreyanshjain05 — every coffee keeps me going! </p>

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选