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System Diagnostics MCP Server

MCP Server

Comprehensive cross‑platform system diagnostics and performance monitoring

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Updated Sep 22, 2025

About

The System Diagnostics MCP Server collects detailed hardware, OS, and performance data across Windows, macOS, and Linux. It provides real‑time monitoring, bottleneck detection, and upgrade recommendations to help users keep their computers running optimally.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

KYC‑MCP Server: System Diagnostics for AI Assistants

The Know Your Computer (KYC) MCP Server bridges the gap between an AI assistant and the underlying operating system by exposing a rich set of diagnostic tools and real‑time metrics. Instead of relying on generic knowledge or user‑supplied data, the server provides a trusted source of hardware and performance information that an assistant can query on demand. This eliminates guesswork, speeds up troubleshooting conversations, and empowers developers to build smarter, context‑aware applications.

At its core, the server aggregates data from a dozen specialized diagnostics modules: CPU and memory usage, storage health, network throughput, running processes, installed applications, battery status, motherboard details, and system logs. It then exposes these as MCP resources that can be queried through simple prompts such as “Show me CPU usage” or “What is my disk space?” The assistant can also request higher‑level insights, like bottleneck detection or upgrade recommendations, by invoking the performance analysis tool. The result is a unified, authoritative view of the machine that can be accessed from any MCP‑compatible client.

Developers benefit from several key capabilities. First, cross‑platform support (Windows 10/11, macOS 10.15+, Linux distributions) ensures that a single server implementation can serve heterogeneous environments. Second, the server’s real‑time monitoring allows assistants to provide up‑to‑date status reports, enabling proactive alerts (e.g., “Your CPU temperature is nearing safe limits”). Third, the recommendation engine analyzes usage patterns to suggest hardware upgrades or software optimizations, turning raw data into actionable advice. Finally, the server’s modular design means that new diagnostics can be added without breaking existing integrations.

Typical use cases include:

  • IT support bots that diagnose and resolve user issues without manual intervention.
  • Performance monitoring tools that alert developers when an application exceeds resource thresholds.
  • Power‑management assistants on laptops, providing battery health insights and usage tips.
  • System inventory services that keep track of installed software for compliance or licensing checks.

Integration is straightforward: once the MCP server is running, an AI assistant simply sends a query to the appropriate resource endpoint. The server responds with structured data that the assistant can format, explain, or act upon—such as launching a cleanup script or opening a detailed log file. This tight coupling between AI intent and system state makes the KYC‑MCP Server an indispensable component for any developer building intelligent, contextually aware applications that need to understand the hardware they run on.