pulsemcp scanned Safe content atomic mcp-remote

My Mac

MCP My Mac is a lightweight server that provides AI assistants like Claude with real-time access to Mac system information through a simple API. Developed by Mingyuan Zhong, it safely executes verified commands like 'system_profiler' and 'conda' to gather hardware specifications, system configuration, and resource usage data. The server runs locally with minimal overhead, making it particularly valuable for Mac users experimenting with AI and deep learning who need targeted assistance with software optimization and troubleshooting without manually sharing system details.

Cognium trust score

64%

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 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: iot-hardware
Source: PulseMCP
Repository: github.com/zhongmingyuan/mcp-my-mac
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve My Mac 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"