MCP Connector

Diagnose System Performance and Hardware

A cross-platform MCP server for read-only system diagnostics: CPU, memory, storage, network, battery, and hardware details.

Works with github

Maintainer of this project? Claim this page to edit the listing.


91
Spark score
out of 100
Updated 10 months ago
Version 1.0.0
Models
universal

Add to Favorites

Why it matters

Gain deep insights into your system's health, performance, and hardware. This asset provides comprehensive diagnostics and optimization recommendations for Windows, macOS, and Linux.

Outcomes

What it gets done

01

Monitor CPU, memory, storage, and network metrics.

02

Retrieve detailed hardware specifications and system information.

03

Analyze running processes and installed applications.

04

Receive AI-powered performance bottleneck identification and hardware upgrade suggestions.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-kyc-mcp-server | bash

Capabilities

Tools your agent gets

get_system_info

Comprehensive system information including OS, hardware specs, and uptime

get_computer_model

Computer manufacturer, model, and system details

get_motherboard_details

Motherboard specifications, BIOS information, and memory slots

get_cpu_metrics

Detailed CPU metrics, frequency, temperature, and per-core statistics

get_memory_metrics

Memory usage and top consuming processes

get_storage_metrics

Storage devices and their usage information

get_network_metrics

Network interfaces and active connections

get_processes

Running processes and their resource consumption

+5 tools

Overview

KYC-mcp-server MCP Server

A cross-platform MCP server for read-only system diagnostics - CPU, memory, storage, network, battery, and hardware details - plus performance bottleneck analysis and upgrade recommendations. Use it for conversational system diagnostics and upgrade advice; some tools need elevated OS permissions for full access.

What it does

This MCP server provides comprehensive system diagnostics and monitoring - hardware information, performance metrics, and optimization recommendations - across Windows, macOS, and Linux. It reports system information (OS detection, hardware specs, uptime), computer model and manufacturer details, motherboard specifics (BIOS/UEFI info, memory slots, hardware capabilities), CPU metrics (usage, frequency, temperature, per-core statistics), memory usage (RAM/swap plus per-process consumption), storage analysis (disk usage, I/O stats, SSD/HDD detection), network monitoring (interface stats, active connections, traffic), running processes and their resource consumption, an inventory of installed applications, battery status and power consumption for laptops, and recent system logs.

Beyond raw metrics, it runs performance diagnostics to detect bottlenecks and generates hardware upgrade recommendations based on observed usage patterns - useful for questions like whether to add RAM or upgrade the CPU for a specific workload such as gaming or development. Typical questions it answers include current system status, which applications are consuming the most memory or power, what RAM type and how many slots the motherboard supports, and what's actually causing a slowdown.

When to use - and when NOT to

Use it when you want an LLM to answer questions about your machine's hardware, performance, or resource usage, or to get upgrade recommendations grounded in actual usage data, without manually digging through OS-specific system tools.

Some features need elevated permissions: full system access on Windows requires running as Administrator, macOS requires granting Terminal/Python full disk access in System Preferences, and Linux may require sudo for some features. The server is read-only by design - it collects no passwords or keys, network monitoring shows only connection metadata (not traffic content), and application listing excludes user data.

Capabilities

Thirteen tools: get_system_info, get_computer_model, get_motherboard_details, get_cpu_metrics, get_memory_metrics, get_storage_metrics, get_network_metrics, get_processes, get_installed_applications, get_battery_status, get_system_logs, diagnose_performance, and get_hardware_recommendations.

How to install

Clone the repository, create a Python virtual environment, and install dependencies:

git clone https://github.com/yourusername/system-diagnostics-mcp.git
cd system-diagnostics-mcp
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Windows additionally needs pip install wmi pywin32. Then point Claude Desktop's config at the venv's Python interpreter running system_diagnostics_mcp.server, with cwd and PYTHONPATH set to the project directory - the exact config file location differs by OS (%APPDATA%\Claude\claude_desktop_config.json on Windows, ~/Library/Application Support/Claude/claude_desktop_config.json on macOS, ~/.config/Claude/claude_desktop_config.json on Linux).

Who it's for

Users and support engineers who want conversational, cross-platform system diagnostics and evidence-based hardware upgrade advice without manually running separate OS-specific monitoring tools - for example diagnosing why a laptop's battery drains quickly, checking which processes are hogging memory, or confirming what RAM type and slot count a motherboard supports before buying an upgrade. The project is released under the MIT License.

Source README

System Diagnostics MCP Server

Know Your Computer (KYC) MCP Server

Comprehensive system diagnostics and monitoring server providing detailed hardware information, performance metrics, and optimization recommendations.

  • Tools: 12 diagnostic tools including CPU, memory, storage, network, processes, applications, battery, motherboard details, and performance analysis
  • Resources: System metrics, hardware specifications, and real-time monitoring data
  • Platform: Cross-platform (Windows, macOS, Linux)
  • Repository

Features

Core Monitoring Capabilities

  • System Information: OS detection, hardware specs, uptime
  • Computer Model Detection: Manufacturer, model, system specifications
  • Motherboard Details: Motherboard info, BIOS/UEFI, memory slots, hardware capabilities
  • CPU Metrics: Usage, frequency, temperature, per-core statistics
  • Memory Monitoring: RAM/swap usage, process memory consumption
  • Storage Analysis: Disk usage, I/O stats, SSD/HDD detection
  • Network Monitoring: Interface stats, active connections, traffic analysis
  • Process Management: Running processes, resource consumption
  • Application Inventory: Installed applications listing
  • Battery Status: Power consumption, battery health (laptops)
  • System Logs: Event logs, system messages
  • Performance Diagnostics: Bottleneck detection, performance analysis
  • Hardware Recommendations: Upgrade suggestions based on usage patterns

Platform Support

  • ✅ Windows (10, 11)
  • ✅ macOS (10.15+)
  • ✅ Linux (Ubuntu, Debian, RHEL, etc.)

Installation

Prerequisites

  • Python 3.8 or higher
  • pip package manager

Basic Installation

# Clone the repository
git clone https://github.com/yourusername/system-diagnostics-mcp.git
cd system-diagnostics-mcp

# Create virtual environment
python -m venv venv

# Activate virtual environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

Windows Additional Setup

For Windows systems, install additional dependencies:

pip install wmi pywin32

Configuration

Claude Desktop Configuration

Add the following to your Claude Desktop configuration file:

Windows

Edit %APPDATA%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "system-diagnostics": {
      "command": "C:\\path\\to\\venv\\Scripts\\python.exe",
      "args": ["-m", "system_diagnostics_mcp.server"],
      "cwd": "C:\\path\\to\\system-diagnostics-mcp",
      "env": {
        "PYTHONPATH": "C:\\path\\to\\system-diagnostics-mcp"
      }
    }
  }
}
macOS

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "system-diagnostics": {
      "command": "/path/to/venv/bin/python",
      "args": ["-m", "system_diagnostics_mcp.server"],
      "cwd": "/path/to/system-diagnostics-mcp",
      "env": {
        "PYTHONPATH": "/path/to/system-diagnostics-mcp"
      }
    }
  }
}
Linux

Edit ~/.config/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "system-diagnostics": {
      "command": "/path/to/venv/bin/python",
      "args": ["-m", "system_diagnostics_mcp.server"],
      "cwd": "/path/to/system-diagnostics-mcp",
      "env": {
        "PYTHONPATH": "/path/to/system-diagnostics-mcp"
      }
    }
  }
}

Usage Examples

Once configured, you can interact with the system diagnostics server through Claude:

Basic System Check

"What's my current system status?"
"Show me CPU and memory usage"
"How much disk space do I have left?"

Performance Analysis

"My system is running slow, can you diagnose why?"
"Which applications are using the most memory?"
"Are there any performance bottlenecks?"

Battery and Power (Laptops)

"Why is my battery draining so fast?"
"Which apps are consuming the most power?"
"What's my current battery status?"

Hardware Recommendations

"I want to upgrade my system for gaming, what should I upgrade?"
"What hardware changes would improve my development workflow?"
"Should I add more RAM or upgrade my CPU?"

Application Management

"What applications are installed on my system?"
"Show me all running processes sorted by CPU usage"
"Which processes are using network bandwidth?"

Hardware and System Information

"What motherboard do I have?"
"What's my computer model and manufacturer?"
"How many RAM slots does my motherboard have?"
"What's the maximum RAM my system supports?"
"What BIOS version am I running?"
"Can I add more RAM to my system?"
"What memory slots are currently occupied?"
"Show me my motherboard specifications"
"What's my system's serial number?"
"What type of memory does my system use (DDR3/DDR4/DDR5)?"

Available Tools

Tool Name Description
get_system_info Comprehensive system information
get_computer_model Computer manufacturer, model, and system details
get_motherboard_details Motherboard specifications, BIOS info, and memory slots
get_cpu_metrics Detailed CPU metrics and temperature
get_memory_metrics Memory usage and top consumers
get_storage_metrics Storage devices and usage
get_network_metrics Network interfaces and connections
get_processes Running processes information
get_installed_applications List of installed applications
get_battery_status Battery and power information
get_system_logs Recent system logs and events
diagnose_performance Performance analysis and bottlenecks
get_hardware_recommendations Hardware upgrade suggestions

Permissions

Some features may require elevated permissions:

  • Windows: Run as Administrator for complete system access
  • macOS: Grant Terminal/Python full disk access in System Preferences
  • Linux: Some features may require sudo access

Troubleshooting

Common Issues

  1. ImportError for psutil

    pip install --upgrade psutil
    
  2. Windows: WMI errors

    pip install --upgrade wmi pywin32
    
  3. Permission denied errors

    • Run with appropriate privileges
    • Check file system permissions
  4. MCP connection issues

    • Verify the path in Claude Desktop config
    • Ensure Python virtual environment is activated
    • Check that the server starts without errors

Security Considerations

  • The server has read-only access to system information
  • No sensitive data (passwords, keys) is collected
  • Network monitoring shows only connection metadata
  • Application listing doesn't include user data

FAQ

Common questions

Discussion

Questions & comments · 0

Sign In Sign in to leave a comment.