# Apple Reminders

> Use this tool when you need to create, manage, and interact with reminders on Apple devices, solving problems like personal task management and scheduling assistance. It takes inputs like title, notes, due dates, and priority levels, and outputs managed reminders, providing a seamless interface with Apple's Reminders app. Ideal for use cases where AI-driven reminder creation and task management are required, such as automated scheduling and productivity assistance.

Canonical page: https://skillsregistry.net/skills/chenningling-apple-reminders  
JSON: https://api.skillsregistry.net/v1/skills/chenningling-apple-reminders

## Description

MCP-AppleReminders provides a bridge between AI assistants and Apple's Reminders app, allowing models to create, read, and manage reminders directly through the Model Context Protocol. Built with Python using the FastMCP framework, it exposes tools for interacting with the native Reminders application on macOS and iOS devices. The implementation includes functionality for retrieving existing reminders and creating new ones with specified parameters like title, notes, due dates, and priority levels. This server enables seamless integration with Apple's productivity ecosystem, making it valuable for personal task management, scheduling assistance, and automated reminder creation through AI interactions.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chenningling-apple-reminders)
- **Repository:** <https://github.com/chenningling/mcp-applereminders>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chenningling-apple-reminders"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chenningling-apple-reminders` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chenningling-apple-reminders/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt