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dknellbydknell
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Developer Tools
Deployment & DevOps
Analytics & Monitoring

Delivers real-time system metrics including CPU, memory, disk, network, and process information through a standardized Model Context Protocol interface.

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Leveraging the Model Context Protocol (MCP), this server provides instant access to crucial system performance data. It offers a comprehensive suite of tools and resources to monitor CPU usage, memory statistics, disk space, network activity, and running processes across Windows, macOS, and Linux platforms. Designed for performance and security, it includes intelligent caching, sensitive data filtering, and robust error handling, making it an ideal solution for integrating system insights into AI agents or other MCP-compatible clients.

Key Features

01Provides real-time system metrics with configurable caching
02Configurable via environment variables with comprehensive error handling
03Offers cross-platform support for Windows, macOS, and Linux
04Security-focused with sensitive data filtering and read-only operations
05Performance optimized through intelligent caching and lazy loading
061 GitHub stars

Use Cases

01Monitor real-time CPU, memory, and disk usage
02Retrieve lists of running processes with sorting and filtering options
03Integrate system performance data into AI agents or custom applications