MCP Lcu Server
The MCP Linux Common Utility Server is a Python-based server that provides access to Linux system operations and information through the Model Context Protocol.
rating : 2.5 points
downloads : 7.6K
What is the MCP Linux Common Utility Server?
The MCP Linux Common Utility Server is a server program developed in Python. It provides developers and administrators with a convenient way to access various functions and information of the Linux system through the standardized Model Context Protocol (MCP). It's like a 'Swiss Army Knife', integrating system operation functions such as CPU, memory, storage, and network.How to use the MCP Linux Common Utility Server?
It's very simple to use. Just install the Python environment and run the server program, then send requests through the MCP protocol to obtain system information or perform operations. It supports both command-line and web interface usage modes.Applicable scenarios
It is suitable for scenarios such as system monitoring, automated operation and maintenance, remote management, and performance analysis. It is particularly suitable for environments where multiple Linux servers need to be centrally managed.Main Features
CPU Monitoring
Get real-time CPU usage, load, and detailed information.
Memory Management
View memory and swap space usage.
Process Control
List and manage system processes.
Storage Information
Get disk, partition, and file system information.
File Operations
Basic file creation, reading, writing, and deletion functions.
Network Tools
Network interface monitoring, connection testing, and data transmission.
System Monitoring
Comprehensive system status and health check.
Log Analysis
Access and analyze system logs.
Advantages
Unified interface to access multiple system functions
Standardized protocol for easy integration
Lightweight Python implementation
Detailed monitoring and analysis capabilities
Flexible configuration options
Limitations
Only supports Linux systems
Requires Python 3.10+ environment
Some functions require root privileges
There may be security risks in network functions
How to Use
Installation Preparation
Ensure that Python 3.10 or a higher version is installed on the system.
Get the Software
Clone the GitHub repository or download the release package.
Install Dependencies
Create a virtual environment and install the dependency packages.
Configure the Server
Modify the configuration file as needed.
Start the Server
Select a suitable transport method to start the server.
Usage Examples
Monitor System Resources
Periodically get CPU, memory, and disk usage.
Find Large Files
Search for files larger than 100MB in the specified directory.
Analyze System Logs
Find recent error logs.
Frequently Asked Questions
Is this server secure?
Which Linux distributions are supported?
How to extend the functionality?
Does it have a significant impact on performance?
Related Resources
GitHub Repository
Project source code and the latest version.
Python Official Website
Download the Python environment.
MCP Protocol Specification
Official documentation of the Model Context Protocol.
Usage Tutorial Video
Video tutorial on installing and using the MCP server.

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