pulsemcp scanned Safe content atomic mcp-remote

iCloud Photos

This MCP server, developed by Siddhant Khare, enables AI agents to interact with local iCloud Photos libraries on macOS. Built with Python and leveraging the osxphotos library, it provides functionality for searching and retrieving photo metadata based on criteria like dates, locations, people, and labels. The implementation focuses on efficient local photo analysis without cloud dependencies, offering features like fuzzy matching for more flexible searches. It's particularly useful for AI assistants and applications needing to work with personal photo collections, enabling use cases such as creating memory journals, organizing photo albums, or generating photo-based narratives without dealing directly with the complexities of the Photos app or iCloud APIs.

Cognium trust score

65%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/siddhant-k-code/memory-journal-mcp-server
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve iCloud Photos from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"