# macOS Photos

> Use this tool when you need to access and manage macOS Photos.app libraries programmatically, solving problems such as searching and organizing photos, creating and managing albums, and exporting assets. It provides a Swift-based interface for inputting search queries and album requests, and outputs photo assets and album information. Ideal for use cases requiring automated photo library management and integration with other macOS applications.

Canonical page: https://skillsregistry.net/skills/morganp-macos-photos  
JSON: https://api.skillsregistry.net/v1/skills/morganp-macos-photos

## Description

Swift-based MCP server providing direct access to macOS Photos.app libraries through Apple's PhotoKit framework. Offers six tools for searching photos by date, media type, and keyword; listing user and smart albums; retrieving album contents; exporting assets to the filesystem; creating albums; and adding photos to existing collections. Built with the official Swift MCP SDK and handles Photos permission requests automatically through an embedded Info.plist.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/morganp-macos-photos)
- **Repository:** <https://github.com/morganp/photos-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": "morganp-macos-photos"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/morganp-macos-photos` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/morganp-macos-photos/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