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PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Mirofy

제작자: Hasan-Laraib버전 0.6.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.Hasan-Laraib/mirofy

설치

개요

제작자가 쓴 설명(영어 원문)

Ask a repository what depends on what. Every answer cites the file, line and commit it came from.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 개발자 도구

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • npmNode.js 설치(npx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "mirofy": {
      "command": "npx",
      "args": [
        "-y",
        "mirofy-cli",
        "mcp"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add mirofy -- npx -y mirofy-cli mcp

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "mirofy": {
      "command": "npx",
      "args": [
        "-y",
        "mirofy-cli",
        "mcp"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "mirofy": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mirofy-cli",
        "mcp"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 Hasan-Laraib 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

개발자 도구 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 5135개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 5135개 중 39%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 5135개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Mirofy, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.6.0)은 2개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

제작자: github널리 사용됨★ 3.4만5일 전 업데이트

컴퓨터 또는 클라우드

Desktop Commander

MCP server for terminal commands, file operations, and process management

제작자: wonderwhy-er널리 사용됨↓ 71만/주★ 1만17일 전 업데이트

내 컴퓨터에서 실행

Cloudflare MCP

Cloudflare MCP servers

제작자: cloudflare성장 중★ 4.4천14개월 전 업데이트

클라우드에서 실행✓ mcp.cloudflare.com

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Diagrams of your system that cite their sources — and say what they could not see.

This is the whole product: one HTML file, open in a browser. Every colour in it is the system’s own vocabulary — backend, database, cloud, security, message bus, external — and nothing else. Colour never marks where an arrow goes, only what a thing is .

Open this exact file ↗ — click any node for its evidence, trace what reaches it, search it, present it.


What it is

Point Mirofy at a repository. It reads the code into an evidence graph, builds a model from that graph, and compiles the model into one HTML file you can open, search, share and check.

Every relationship it draws can answer one question: *what is the evidence for this?* Each carries the file, the line range and the commit it came from. Where nothing is known, the diagram says so instead of filling the gap.

Run it against this repository and you get this — not a mock-up, and not drawn by hand:

Every box is the same colour here, and that is the point. All twelve of these are the same thing — a package, derived from a manifest — so there is nothing for colour to say, and it says nothing. The picture at the top is colourful because that system genuinely has six kinds in it. A tool that tinted these boxes to look livelier would be inventing a distinction it had not found.

Open the live one ↗ — click any node for the file, line range and commit behind it.

Install

Nothing to install — one command, and a diagram opens:

npx mirofy-cli map .    # YOUR repository, mapped, in one command

npx mirofy-cli demo # a finished artifact, to see what this produces npx mirofy-cli init # a starter document of your own to edit npx mirofy-cli render architecture architecture.json

Give it to your agent instead — one line, and the skill installs for Claude Code, Cursor, Gemini CLI, Amp and a dozen others:

npx skills add Hasan-Laraib/Mirofy

Then ask: *map this repository's architecture*. Your agent reads SKILL.md and drives the same CLI.

In Claude Code, the plugin carries both the skill and the MCP server:

/plugin marketplace add Hasan-Laraib/Mirofy

/plugin install mirofy@mirofy

Every one of these routes is the same package. The agent never draws the diagram — it runs the CLI you would have run, which is why nothing it reports can drift from what the CLI reports.

map runs the whole pipeline in the directory you point it at — scan, model, compile, layout, render — and writes architecture.html next to your code. map --out sends the diagram and the intermediates there instead, so nothing lands in your repository; without it the intermediates go to /scan. Naming an output path still wins over both. It works on a repository that declares no workspaces: where there are no packages to draw, it models the source directories and the imports between them.

Or call it from your own code

mirofy-cli/api is the same pipeline as a library — no argv, no process.exit, and no stderr to parse:

import { render, validate, map } from 'mirofy-cli/api';

const html = await render('architecture', diagram); // one HTML string const { ok, diagnostics } = await validate('architecture', diagram); const { html, drawn, coveragePath } = await map('.'); // the whole pipeline

A rejected document throws a MirofyRenderError carrying .diagnostics — the renderer's own structured report, each entry with a code, a subject, the evidence behind it and the fixes it supports. validate returns that report instead of throwing, because "this document is invalid" is an answer, and checking a hundred documents should not need a hundred try/catch blocks.

map needs a git repository: every fact is pinned to a revision, so a directory with no commit has nothing for the evidence to cite, and it says so rather than failing further down.

What it reads

JavaScript and TypeScript imports · Python imports · Go imports · Java imports · Rust imports · Kotlin imports · package.json workspaces · Express and Next routes · docker-compose.

That is the whole list, and the list is the point. Everything else is reported, not skipped: coverage.md names every file no adapter opened, grouped by type, and map says so on its way out when the unread files outnumber the read ones. Point it at a Ruby repository and you get an honest empty answer naming every unread .rb file — not a confident small one drawn from the two JavaScript files in an examples/ folder.

Python resolves by file existence, not by convention: relative imports against the importing file's directory, absolute ones against the repository root and any directory that actually holds a package. A specifier that matches two source roots is a gap naming both, because which one wins depends on sys.path, which is configuration and not in the source.

Go resolves against the module path go.mod declares, and decides the standard library the way the toolchain does — a first path segment containing a dot is a domain, and a domain means a module fetched from somewhere. Java builds its index from the package statements files declare, not from directory layout: Maven convention puts com.acme.store under src/main/java/com/acme/store and convention is not always, but the declaration is what the compiler reads.

Rust peels a use from the right until a real file appears, because use crate::a::b::C does not say which of a, b or C is the file. It reads the crate name and the source root from Cargo.toml — including a declared [lib] path, since src/ is only the default — and knows that Cargo compiles every direct child of tests, benches and examples as its own crate.

Kotlin reads its type index from the declarations themselves — class, interface, object, typealias and fun interface among them — rather than from file names, because a Kotlin file need not be named after the type it holds and may declare several. It shares that index with Java: the two compile to one namespace and import each other freely, so an index of one extension reports a real edge to the other as a missing type.

In every one of them, an import that names something inside this repository which is not there is a gap — never a dependency on a published copy of yourself.

npx mirofy-cli guide "show an API request with a cache miss" picks the diagram type for you if you are not sure which one you want.

As a CLI you keep — npm install -g mirofy-cli. The command it installs is `mirofy`; the package carries the -cli suffix because npm refused the bare name as too close to the existing minify.

From source — no install at all, because there is nothing to install:

git clone https://github.com/Hasan-Laraib/Mirofy.git

node Mirofy/packages/core/bin/mirofy.mjs demo

That works on a bare checkout with no npm install, because every package here has zero runtime dependencies.

As an agent skill — build the bundle and copy it where your agent looks:

git clone https://github.com/Hasan-Laraib/Mirofy.git

cd Mirofy && npm install && npm run build:skill

cp -r dist/mirofy ~/.claude/skills/ # Claude Code cp -r dist/mirofy ~/.agents/skills/ # Codex CLI, opencode

Then ask: Use mirofy to map this repository's runtime architecture.

The bundle is 2.8 MB and named for the skill inside it — copying packages/core instead installs a skill called core that says in its own frontmatter it is called mirofy, and drags the test suite along with it. Before writing the bundle, build:skill copies it somewhere with no repository around it and renders a diagram: a bundle that only works inside its own checkout is not a bundle.

Nothing is downloaded at runtime and nothing phones home — there is no update check, because a tool that reaches the network to tell you about itself is a tool that reaches the network.

The pipeline, one step at a time

mirofy map is these five steps in order. If you only want the intermediates, mirofy map . out.html --out ./scan writes every one of them — the evidence graph, the model, the view and the positioned document — into that directory.

To run a step on its own, or point one somewhere else, you need a checkout; these are the repository's own npm scripts, not commands the installed package exposes:

npm run scan                    # repository  → evidence graph

npm run model -- --from-graph --graph scan/evidence-graph.json npm run compile # model → a bounded view npm run layout # view → positioned document node packages/core/bin/mirofy.mjs render architecture scan/diagram.json out.html --repo-root .

Against this repository it records 1,227 facts across 223 files, with 17 gaps it could not read; derives 19 components and 21 relationships — every one citing the file and line it came from — and draws twelve, recording what it left out and why.

Those figures are checked, not remembered — see the numbers on this page below.

Those commands reproduce the diagram at the top of this page. It is checked in under assets/ as documentation; the interactive artifacts are built, never stored.

No repository? Author a JSON document, or convert a Mermaid diagram:

node packages/core/bin/mirofy.mjs import mermaid design.mmd

node packages/core/bin/mirofy.mjs render architecture design.json out.html node packages/core/bin/mirofy.mjs validate architecture design.json --json

What you get

<img src="assets/evidence.svg" alt="One drawn edge, opened: the passport shows the relation depends-on, provenance statically-derived, the source line render-workfl

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

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