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MCP System Info Server

MCP System Info Server

by DRITI2906
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Python
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MCP System Info Server

A lightweight MCP (Model Context Protocol) server that provides real-time system information including CPU, memory, disk, and GPU statistics.

Features

Category

Information Provided

System

System name, node name, OS release/version, machine type, processor

CPU

Processor name, physical/logical cores, frequency, usage percentage

Memory

Total, available, used memory (GB), utilization percentage

Disk

Total, used, free space (GB), utilization percentage

GPU

Name, memory (total/used/free), utilization, temperature (NVIDIA only)

Related MCP server: System Stats MCP Server

Prerequisites

  • Python 3.10+

  • uv - Fast Python package manager

Installation

# Clone or navigate to the project directory
cd mcp

# Install dependencies (handled automatically by uv)
uv sync

Screenshots

alt text

alt text

Usage

Running Standalone

uv run sysinfo.py

Testing with MCP Inspector

uv run mcp dev sysinfo.py

Claude Desktop Configuration

Add this to your Claude Desktop configuration file:

Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "sysinfo": {
      "command": "uv",
      "args": [
        "--directory",
        "PATH OF THE FOLDER",
        "run",
        "sysinfo.py"
      ]
    }
  }
}

Available Tools

get_sysinfo

Returns comprehensive system information as a JSON object:

{
  "system": {
    "system_name": "Windows",
    "node_name": "DESKTOP-XXX",
    "os_release": "10",
    "os_version": "10.0.19045",
    "machine_type": "AMD64",
    "processor": "Intel64 Family 6..."
  },
  "cpu": {
    "processor_name": "Intel Core i7-10700K",
    "physical_cores": 8,
    "logical_cores": 16,
    "cpu_frequency_mhz": 3800.0,
    "cpu_usage_percent": 12.5
  },
  "memory": {
    "total_gb": 32.0,
    "available_gb": 18.5,
    "used_gb": 13.5,
    "utilization_percent": 42.2
  },
  "disk": {
    "total_gb": 500.0,
    "used_gb": 280.0,
    "free_gb": 220.0,
    "utilization_percent": 56.0
  },
  "gpu": [
    {
      "id": 0,
      "name": "NVIDIA GeForce RTX 3080",
      "memory_total_mb": 10240.0,
      "memory_used_mb": 2048.0,
      "memory_free_mb": 8192.0,
      "gpu_utilization_percent": 15.0,
      "temperature_c": 45
    }
  ]
}

Dependencies

  • mcp[cli] - MCP SDK with CLI support

  • psutil - Cross-platform system information

  • GPUtil - NVIDIA GPU information

  • py-cpuinfo - Detailed CPU information

Available Tools

1 tool
get_sysinfoB
Get comprehensive system information.

Returns detailed information about the system including:
- System: OS name, version, machine type
- CPU: Processor name, cores, frequency, usage
- Memory: Total, available, used memory and utilization
- Disk: Total, used, free disk space and utilization
- GPU: NVIDIA GPU details if available (name, memory, utilization, temperature)

Inputs: no named parameters. Returns: object

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'get_sysinfo' has a clearly defined and distinct purpose of retrieving comprehensive system information.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'get_sysinfo' follows a clear verb_noun pattern, and there are no other tools to create inconsistency.

    Tool Count2/5

    A single tool is generally too few for a server's purpose, as it limits functionality and scope. For a system info server, one tool might be insufficient for covering potential needs like monitoring specific components or historical data, making it feel thin and under-scoped.

    Completeness2/5

    The tool provides comprehensive system information in one call, but there are significant gaps for a system info domain. Missing operations include monitoring changes over time, querying specific subsystems individually, or performing actions like alerts or logs, which limits agent workflows and could lead to failures in dynamic scenarios.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

    Resources

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