# Apple EventKit MCP Server

> Use this tool when you need to integrate natural language processing with Apple Calendar and Reminders on macOS, enabling users to manage schedules and tasks seamlessly. It solves problems of manual event and reminder management, providing a streamlined interface for creating, editing, and searching events and reminders. With inputs of natural language commands and outputs of updated calendar and reminder entries, it's ideal for use cases requiring hands-free or voice-controlled task management.

Canonical page: https://skillsregistry.net/skills/snarris-apple-eventkit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/snarris-apple-eventkit-mcp

## Description

Provides Claude Desktop with access to Apple Calendar and Reminders on macOS for managing schedules and tasks through natural language. It supports comprehensive operations like creating, editing, and searching events and reminders, along with a custom hashtag-based tagging system.

## Trust

- **Trust score (0–1):** 1.00
- **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:** [Glama](https://glama.ai/mcp/servers/iux29rcs0y)
- **Repository:** <https://github.com/harriscarl/apple-eventkit-mcp>

## 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": "snarris-apple-eventkit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/snarris-apple-eventkit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/snarris-apple-eventkit-mcp/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