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MCP System Info Server

by allenbijo

MCP 시스템 정보 서버

개요

MCP 시스템 정보 서버는 실시간 시스템 정보를 제공하는 가볍고 효율적인 서버입니다. CPU, 메모리, 디스크, GPU 통계를 포함한 다양한 하드웨어 및 시스템 정보를 검색하여 모니터링 및 진단 목적으로 유용하게 활용할 수 있습니다.

Related MCP server: MCP System Info Server

특징

  • 시스템 정보

    • 시스템 이름

    • 노드 이름

    • OS 릴리스

    • OS 버전

    • 기계 유형

    • 프로세서

  • CPU 정보

    • 프로세서 이름

    • 물리적 코어

    • 논리 코어

  • 메모리 정보

    • 총 메모리

    • 사용 가능한 메모리

    • 사용된 메모리

    • 메모리 사용률

  • 디스크 정보

    • 총 디스크 공간

    • 사용된 디스크 공간

    • 여유 디스크 공간

    • 디스크 공간 활용도

  • GPU 정보

    • GPU ID

    • GPU 이름

    • 드라이버 버전

    • 총 GPU 메모리

    • 사용 가능한 GPU 메모리

    • 사용된 GPU 메모리

    • GPU 부하

    • GPU 온도

설치

  1. 저장소를 복제합니다.

    지엑스피1

용법

클라이언트에 MCP 서버를 추가합니다.

클로드에 관하여

{
  "mcpServers": {
    "sysinfo": {
      "command": "uv",
      "args": [
          "--directory",
          "D:\\WorksOfGreatness\\mcp-sysinfo",
          "run",
          "sysinfo.py"
      ]
    }
  }
}

서버가 시작되어 들어오는 요청을 수신하고 실시간 시스템 정보를 제공합니다.

API 엔드포인트

엔드포인트

설명

/get_sysinfo

반환 시스템 세부 정보

특허

이 프로젝트는 MIT 라이선스에 따라 라이선스가 부여되었습니다.

작가

앨런 비조 - GitHub

Available Tools

1 tool
get_sysinfoA

Get the current system information. Gives system information such as System, Node name, Release, Version, Machine, Processor CPU Information such as Processor, Physical Cores, Logical Cores Memory Information such as Total Memory, Available Memory, Used Memory, Memory Utilization Disk Information such as Total Disk Space, Used Disk Space, Free Disk Space, Disk Space Utilization

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It clearly describes the tool's read-only behavior and the types of information returned, but lacks details on performance, rate limits, or error handling. It adequately covers the core behavior without rich contextual disclosures.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded with the main purpose, followed by categorized details. It is appropriately sized for the tool's complexity, though some redundancy in listing information types could be slightly condensed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description provides complete context on what information is retrieved. It adequately compensates for the lack of structured fields, though it doesn't specify output format or potential errors.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately focuses on the tool's purpose and output, not parameters, meeting the baseline for zero-parameter tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Get') and resource ('current system information'), with detailed breakdowns of what information is included (System, Node name, CPU, Memory, Disk). It effectively distinguishes this tool's comprehensive scope from any hypothetical alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for retrieving system information, but provides no explicit guidance on when to use this tool versus alternatives (e.g., specific vs. partial system info tools). Since there are no sibling tools, this is adequate but lacks explicit context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

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

  1. 1 tool update
    • First observedget_sysinfo

TDQS

A3.8/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'get_sysinfo' has a clear and distinct purpose of retrieving comprehensive system information, making it impossible for an agent to misselect among tools.

Naming Consistency5/5

Since there is only one tool, it inherently follows a consistent naming pattern. The name 'get_sysinfo' uses a verb_noun format that is clear and predictable, and there are no other tools to compare it against for inconsistency.

Tool Count2/5

A single tool is too few for a server named 'MCP System Info Server', which suggests a broader scope for system information retrieval. While 'get_sysinfo' provides comprehensive data, the lack of additional tools (e.g., for specific components like CPU, memory, or disk details) makes the set feel thin and underdeveloped for the domain.

Completeness2/5

The tool 'get_sysinfo' covers a wide range of system information in one call, but the server's purpose implies potential for more granular operations. There are significant gaps, such as no tools for querying specific system metrics separately (e.g., get_cpu_info, get_memory_usage) or performing actions like monitoring changes, which limits agent flexibility and could lead to inefficiencies.

Maintenance

ActivityInactive
ResponsivenessNo issues

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