# Siri Shortcuts

> Use this tool when you need to automate tasks on macOS using Siri shortcuts, solving problems such as streamlining workflows and increasing productivity. It takes text or file-based input and outputs the execution results of the selected shortcut, allowing AI assistants to interact with the Shortcuts app. Use it in contexts where automation and workflow optimization are required, such as data processing, file management, or custom task execution.

Canonical page: https://skillsregistry.net/skills/dvcrn-siri-shortcuts  
JSON: https://api.skillsregistry.net/v1/skills/dvcrn-siri-shortcuts

## Description

This MCP server provides access to Siri shortcuts functionality on macOS, allowing AI assistants to list, open, and run shortcuts from the Shortcuts app. It dynamically generates tools for each available shortcut, exposing all shortcuts to the LLM for flexible automation. The server uses the macOS 'shortcuts' CLI command under the hood and supports both direct text input and file-based input for shortcut execution.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dvcrn-siri-shortcuts)
- **Repository:** <https://github.com/dvcrn/mcp-server-siri-shortcuts>

## 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": "dvcrn-siri-shortcuts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dvcrn-siri-shortcuts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dvcrn-siri-shortcuts/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
