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Monitor MCP Server
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Monitor MCP Server

A Mac system monitoring server based on the MCP protocol, which can monitor CPU, memory, and disk usage
MonitoringDeveloper tools#System monitoring#Performance analysis#Resource management.Python
2 points
6.2K
Open Site

Overview

Content Details

Alternatives

What is Monitor MCP Server?

Monitor MCP Server is a lightweight system monitoring tool that provides real - time data on the hardware resource usage of Mac computers through the Message Control Protocol (MCP). It helps users understand the system's running status and detect performance bottlenecks in a timely manner.

How to use Monitor MCP Server?

After installation, the server will automatically run and collect system data. Users can connect to the server through an MCP client and send specific instructions to obtain monitoring data. The basic functions can be used without complex configuration.

Use cases

Suitable for scenarios such as developers testing application performance, system administrators monitoring server status, and ordinary users understanding the computer's resource usage. It is especially suitable for long - term resource monitoring.

Main features

CPU monitoring
Display the usage rate, operating frequency, and the number of cores of each CPU core in real - time to help understand the processor load.
Memory monitoring
Provide detailed information such as total memory, available memory, usage rate, and free memory to clearly show the memory usage status.
Disk monitoring
Monitor the usage of each partition, including the file system type, total space, used space, and available space to prevent disk space shortage.
Advantages
Lightweight design with low system resource consumption
Real - time data update with quick response
Support detailed monitoring of multi - core CPUs
Simple and easy - to - use MCP protocol interface
Limitations
Currently only supports the Mac system
Requires a Python environment to be installed
Lacks a graphical interface (needs to be used with a client)

How to use

Install dependencies
Ensure that Python and pip are installed on the system, and then install the required dependency libraries.
Start the server
Run the MCP server program to start collecting system data.
Connect the client
Use an MCP - compatible client to connect to the server and send monitoring instructions.

Usage examples

Monitor the performance of the development environment
Developers can monitor the CPU and memory usage when running large - scale projects to optimize the development environment configuration.
Server resource warning
System administrators can set up scheduled tasks to check disk space to prevent service interruption due to insufficient space.

Frequently Asked Questions

Does it support Windows or Linux systems?
How to view historical monitoring data?
How much system resources will the server occupy?

Related resources

Official documentation of the MCP protocol
Official technical documentation of the Message Control Protocol
GitHub repository
Project source code and issue tracking
psutil documentation
Official documentation of the Python system monitoring library

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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