MCP 시스템 리소스 모니터링 서버

What is MCP 시스템 리소스 모니터링 서버?

A Spring AI-based MCP server that monitors and provides host system resource information. It supports Linux, macOS, and Windows, offering tools for AI models to request system resource data.

How to use MCP 시스템 리소스 모니터링 서버?

Clone the repository, build with Maven (./mvnw clean package), and run the server (./mvnw spring-boot:run). The server exposes tools for querying system resource info and top CPU-consuming processes.

Key features of MCP 시스템 리소스 모니터링 서버

• Monitors CPU usage, memory usage, and processor count
• Identifies the top CPU-consuming process with details
• Supports Linux, macOS, and Windows operating systems
• Built with Java 24, Spring Boot 3.4.4, and Spring AI MCP Server

Use cases of MCP 시스템 리소스 모니터링 서버

• AI agents querying real-time CPU and memory usage of a host
• Automated monitoring of top resource-consuming processes
• Cross-platform system resource analysis for AI workflows
• Demonstration of MCP server with system monitoring capabilities

FAQ from MCP 시스템 리소스 모니터링 서버

What system resources does the server monitor?

It monitors CPU usage (system and process), memory usage (total, used, available), number of processors, and the top CPU-consuming process (PID, name, CPU/memory usage, run time).

What are the dependencies and runtime requirements?

Requires JDK 24 or higher and Maven 3.6 or higher. The server uses external commands to fetch system resources, so those commands must be available on the host.

Which operating systems are supported?

Linux, macOS, and Windows are supported.

Are there any known limitations?

This is a simple test code created to verify MCP behavior; it may not work correctly in all environments. System resource data retrieval relies on external commands that must be available.

How is data accessed and what transport does the server use?

The server provides two tools: one for system resource info and one for top CPU process info. Transport and authentication details are not specified in the README.