# Apple Calendars

> Use this tool when you need to integrate AI models with Apple Calendars on macOS to manage scheduling or retrieve calendar information. It provides a standardized interface to read, create, update, and delete calendar events, handling permissions and date parsing through a local HTTP server. Ideal for AI assistants that require direct access to a user's macOS calendar system.

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

## Description

A TypeScript-based MCP server for interacting with Apple Calendars on macOS, providing a standardized interface for AI models to read, create, update, and delete calendar events. Built to work with a companion Swift-based Calendar API Bridge, the implementation supports flexible date parsing and handles calendar permissions through a local HTTP server running on port 8080. Particularly useful for AI assistants that need to manage scheduling or retrieve calendar information directly from a user's macOS system.

## Trust

- **Trust score (0–1):** 0.95
- **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/apple-calendars)
- **Repository:** <https://github.com/shadowfax92/apple-calendar-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": "apple-calendars"
    }
  }
}
```

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