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System Monitor MCP Server

by PraveerT

System Monitor MCP Server

A powerful MCP (Model Context Protocol) server that provides system monitoring and management capabilities for Claude CLI.

Features

System Information

  • OS Details: Get comprehensive operating system information
  • Hardware Info: CPU count, architecture, and specifications
  • Boot Time: System uptime tracking

Resource Monitoring

  • CPU Usage: Real-time CPU utilization with per-core statistics
  • Memory Stats: RAM and swap usage monitoring
  • Disk Usage: Storage information for all mounted partitions
  • Network Stats: Interface statistics and connection counts

Process Management

  • List Processes: View running processes sorted by CPU/memory usage
  • Process Details: Get detailed information about specific processes
  • Kill Processes: Terminate processes by PID (with optional force kill)

Installation

  1. Clone or download this repository:
cd system-monitor-mcp
  1. Install dependencies:
pip install -r requirements.txt
  1. Add to Claude CLI:
# Add as a local MCP server (use server_standalone.py) claude mcp add system-monitor python /path/to/system-monitor-mcp/server_standalone.py # Or with a specific Python interpreter claude mcp add system-monitor /usr/bin/python3 /path/to/system-monitor-mcp/server_standalone.py

Usage Examples

Once installed, you can use the following commands in Claude:

Check System Status

"What's my system status?" "Show me CPU and memory usage"

Monitor Resources

"How much disk space do I have?" "What's using the most CPU?" "Show me the top 10 memory-consuming processes"

Process Management

"List all running processes" "Get details about process 1234" "Kill the process using port 8080"

Network Information

"Show network statistics" "What network interfaces are available?"

Available Tools

ToolDescriptionParameters
get_system_info()Get OS and hardware informationNone
get_cpu_usage()Get CPU usage statisticsinterval (float, optional)
get_memory_info()Get RAM and swap usageNone
get_disk_usage()Get disk space for all partitionsNone
list_processes()List running processessort_by (str), limit (int)
get_process_info()Get details about a specific processpid (int)
kill_process()Terminate a processpid (int), force (bool)
get_network_stats()Get network interface statisticsNone

Resources

The server also provides a resource endpoint:

  • system://status - Returns a formatted system status overview

Security Notes

  • Some operations may require elevated privileges (e.g., killing system processes)
  • The server respects system permissions and will report access denied errors appropriately
  • Use the force parameter with caution when killing processes

Requirements

  • Python 3.7+
  • psutil library

Note: This server includes a standalone MCP implementation that doesn't require the official MCP Python SDK.

Troubleshooting

Permission Errors

Some system information may require elevated privileges. Run with appropriate permissions if needed.

Process Not Found

Processes may terminate between listing and accessing. The server handles these cases gracefully.

Platform Compatibility

This server is designed to work on Linux, macOS, and Windows, though some features may vary by platform.

Contributing

Feel free to extend this server with additional monitoring capabilities or system management features!

-
security - not tested
F
license - not found
-
quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

Provides system monitoring and management capabilities for Claude CLI, allowing users to view system information, track resource usage, and manage processes through natural language commands.

  1. Features
    1. System Information
    2. Resource Monitoring
    3. Process Management
  2. Installation
    1. Usage Examples
      1. Check System Status
      2. Monitor Resources
      3. Process Management
      4. Network Information
    2. Available Tools
      1. Resources
        1. Security Notes
          1. Requirements
            1. Troubleshooting
              1. Permission Errors
              2. Process Not Found
              3. Platform Compatibility
            2. Contributing

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