# Apple Reminders MCP Server

> Use this tool when you need to manage reminders on macOS using natural language, creating, updating, and searching reminders with advanced features. It solves problems of reminder organization and notification management, accepting natural language inputs and producing updated reminder lists as output. Ideal for use in virtual assistant contexts where users need to interact with Apple Reminders hands-free.

Canonical page: https://skillsregistry.net/skills/krishna-desiraju-apple-reminders-swift-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/krishna-desiraju-apple-reminders-swift-mcp-server

## Description

Enables AI assistants to manage Apple Reminders on macOS using natural language, with support for creating, updating, and searching reminders including advanced features like recurring patterns, location-based triggers, and multiple alarms.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cmq0vritjq)
- **Repository:** <https://github.com/Krishna-Desiraju/apple-reminders-swift-mcp-server>

## 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": "krishna-desiraju-apple-reminders-swift-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krishna-desiraju-apple-reminders-swift-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krishna-desiraju-apple-reminders-swift-mcp-server/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