Mcp My Mac
What is Mcp My Mac
mcp-my-mac is a lightweight server that provides a simple API to expose Mac system information, enabling AI assistants like Claude to access real-time data about your Mac.
Use cases
Use cases include enhancing AI assistant capabilities for software optimization, troubleshooting system issues, and providing real-time system data for AI experiments.
How to use
To use mcp-my-mac, clone the repository from GitHub, configure it for your AI client (like Claude Desktop), and run it using the UV package manager. The server will automatically connect to your AI assistant for system information access.
Key features
Key features include access to hardware specifications, system configuration, and resource usage of your Mac, secure local API operation, and execution of safe commands like ‘system_profiler’ and ‘conda’.
Where to use
mcp-my-mac is primarily used by Mac users interested in AI and Deep Learning, providing essential system information for optimization and troubleshooting.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp My Mac
mcp-my-mac is a lightweight server that provides a simple API to expose Mac system information, enabling AI assistants like Claude to access real-time data about your Mac.
Use cases
Use cases include enhancing AI assistant capabilities for software optimization, troubleshooting system issues, and providing real-time system data for AI experiments.
How to use
To use mcp-my-mac, clone the repository from GitHub, configure it for your AI client (like Claude Desktop), and run it using the UV package manager. The server will automatically connect to your AI assistant for system information access.
Key features
Key features include access to hardware specifications, system configuration, and resource usage of your Mac, secure local API operation, and execution of safe commands like ‘system_profiler’ and ‘conda’.
Where to use
mcp-my-mac is primarily used by Mac users interested in AI and Deep Learning, providing essential system information for optimization and troubleshooting.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP My Mac
A lightweight server that exposes Mac system information via a simple API, allowing AI assistants like Claude to access real-time system information about your Mac. This tool is primarily designed for Mac users who want to experiment with AI and Deep Learning on their machines.
Status: BETA - This project is currently in beta. We’re actively looking for feedback to improve functionality and user experience. Please share your thoughts and suggestions!
Why Use It?
- Provides Claude Desktop or other MCP clients with access to your Mac’s hardware specifications, system configuration, and resource usage
- Enables more targeted and accurate assistance for software optimization and troubleshooting
- Runs as a secure local API with minimal overhead
- Only executes safe, verified commands:
system_profiler- to gather system informationconda- to analyze Python environment configurations
Installation
Method 1: Using UV + Git Clone
Prerequisites
- Python 3.8 or higher
- UV package manager installed
Steps
-
Clone the repository:
bash git clone [email protected]:zhongmingyuan/mcp-my-mac.git -
Configure for your AI client:
[Claude Desktop] Add the following to your MCP server config file:
Note: Replace
/YOUR_PATH_TOwith the actual path where you cloned the repository.[Cursor] Add tool by selecting “command” in UI:
uv run --directory /YOUR_PATH_TO/mcp-my-mac mcp_server_my_mac
Usage
After installation, Claude Desktop will automatically connect to this API when running on your Mac, allowing it to access system information when needed for answering your questions or providing assistance.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
