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Xutaotaotao

mcp-get-installed-apps

by Xutaotaotao
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설치된 앱 MCP 서버 가져오기

컴퓨터에 설치된 애플리케이션에 대한 정보를 제공하는 MCP(Model Context Protocol) 서버로, MacOS와 Windows를 지원합니다.

프로젝트 소개

설치된 앱 가져오기 MCP 서버는 AI 비서가 컴퓨터에 설치된 애플리케이션을 검색할 수 있도록 하는 간단한 MCP 구현입니다. 이 서버는 모델 컨텍스트 프로토콜(MCP) 사양을 구현하여 호환되는 AI 클라이언트와의 원활한 통합을 지원합니다.

Related MCP server: XcodeBuildMCP

특징

  • 컴퓨터에 설치된 애플리케이션의 포괄적인 목록을 반환합니다.

  • 모든 MCP 호환 AI 클라이언트와의 간단한 통합

  • 최소한의 종속성을 갖춘 가벼운 구현

프로젝트 구조

지엑스피1

설치

git clone https://github.com/Xutaotaotao/mcp-get-installed-apps.git
cd git-mcp-server
npm install
npm run build

MCP 구성

설치 후 MCP JSON 구성에서 Get Installed Apps MCP를 구성할 수 있습니다.

{
    "mcpServers": {
        "get-installed-apps": {
            "command": "node",
            "args": [
                "mcp-get-installed-apps/build/index.js"
            ]
        }
    }
}

AI 클라이언트에서 MCP JSON 구성

MCP 도구 설명

설치된 앱 받기 MCP 서버는 MCP 프로토콜을 통해 호출할 수 있는 다음 도구를 제공합니다.

설치된 앱 가져오기(get-installed-apps)

컴퓨터에 설치된 모든 애플리케이션 목록을 반환합니다.

매개변수:

  • 없음

보고:

  • 성공: 설치된 모든 애플리케이션의 JSON 데이터가 포함된 텍스트 콘텐츠

  • 실패: 오류 정보가 포함된 텍스트 콘텐츠

Available Tools

1 tool
get-installed-appsB

Get my computer's installed apps

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Get' which implies a read operation, but fails to describe critical traits like whether this requires permissions, what format the output is in, if it's paginated, or any rate limits. For a tool with zero annotation coverage, this is inadequate.

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

Conciseness5/5

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

The description is a single, efficient sentence with no wasted words. It is front-loaded with the core purpose, making it easy for an AI agent to quickly understand the tool's function without unnecessary elaboration.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It does not explain what the return values are (e.g., list format, data structure) or address behavioral aspects like permissions or errors. For a tool that retrieves system data, this leaves significant gaps in understanding.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the inputs. The description does not need to add parameter information, and it appropriately avoids redundancy. A baseline of 4 is applied since no parameters exist, and the description does not introduce confusion.

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

Purpose4/5

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

The description 'Get my computer's installed apps' clearly states the action (get) and resource (installed apps) with a specific scope (my computer). It's not tautological with the tool name 'get-installed-apps' and provides a meaningful purpose. However, without sibling tools, the differentiation aspect is not applicable, preventing a perfect score.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool, such as prerequisites, alternatives, or exclusions. It simply states what the tool does without context for usage, which is a significant gap in helping an AI agent make informed decisions.

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 updatev1.0.0
    • First observedget-installed-apps
Deploy Server
Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as retrieving installed apps from the computer, making it distinct by default.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect. The tool name 'get-installed-apps' follows a clear verb-noun pattern, and there are no other tools to compare it against for inconsistency.

Tool Count2/5

A single tool is too few for most server purposes, as it limits functionality and suggests a thin or incomplete surface. While it might be appropriate for a very narrow scope, it generally feels insufficient for typical agent workflows.

Completeness2/5

The server's domain appears to be managing installed apps, but with only a 'get' operation, there are significant gaps. Missing operations like install, uninstall, update, or search apps make the surface incomplete and likely to cause agent failures for broader tasks.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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