프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

archy

제작자: hslee16버전 0.54.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.hslee16/archy

설치

개요

제작자가 쓴 설명(영어 원문)

Architectural sensor for Python codebases.

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: 기타

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

  • PyPIPython의 uv 설치(uvx 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": {
    "archy": {
      "command": "uvx",
      "args": [
        "archy",
        "mcp"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add archy -- uvx archy mcp

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "archy": {
      "command": "uvx",
      "args": [
        "archy",
        "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": {
    "archy": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "archy",
        "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 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 hslee16 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

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32433개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32433개 중 99%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32433개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

archy, 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(0.54.0)은 오늘 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

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

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211어제 업데이트
설치

Symantec Cloud DLP AIops

제작자: AIops-tools

Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.

내 컴퓨터에서 실행오늘 업데이트
설치

제작자의 README

README 열기

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

Your folders show your architecture. Your imports decide it.

archy turns a Python import graph into something an agent can *use*: blast radius before an edit, the tests that edit affects, the modules most at risk. And it *fails* when the graph disagrees with the layers you declared. Same graph either way, as a CLI and an MCP server, every session and in CI.

[!IMPORTANT]

Status, 2026-09-10: active, and pointed at the loop rather than the surface area.

What archy does. One graph, two front ends. It parses a Python project's

imports and calls once, keeps the parse cached, and answers the questions a

file tree cannot: what does this change reach, which tests does that affect,

where are the cycles, and does the graph still agree with the layers you

declared. It runs as a CLI in CI and as an MCP server inside an agent session,

off the same graph either way, and it *fails* when the declared architecture

and the real one disagree.

Where it is going: deeper into that loop, not wider. The local-model

question that reopened this project on 2026-09-02 is **closed, as six

interventions, none positive**, two of them measured as costing MORE than

their control. The write-up is Study 8 in

docs/WHAT_DIDNT_WORK.md, and it is the fifth

pre-registered null published here. The feature that line produced,

conventions --emit-headers, is kept, because it is derived rather than

hand-authored, cheap, and --check stops it rotting. Only the claim attached

to it is retired.

**What those six nulls did establish is where the failure lives: delivery and

retrieval, not capability.** Across 132 agent transcripts on a pinned tree,

read fired in 132 of 132 runs with a median of 9.5 calls before the first

edit; archy fired in 84 of 132, with a median of zero calls before it.

Every archy surface is pull. The model reaches for it after it has already

decided, or not at all. Two payloads pushed through the one channel archy

owns, the file itself, both came out more expensive than their control, which

is evidence about the channel and not the content.

So the working design rule is: **put the answer in the default output of a

command that is already being run**, rather than adding a surface that has to

be discovered first. The live threads follow from it. One is the vacuity

family: a check that could not have failed must not report like one that was

evaluated and held, which is now explicit on the contracts result and is being

finished across the remaining surfaces. The other is two structural refactors

of archy's own code: the module its own tools rate as central and fragile,

and the two files that have grown large enough to hide things. New tools and

new output formats stay gated behind a usage signal.

The discipline does not relax because the project is active. Thresholds

are pre-registered before a run, and any result, including another null, gets

published in docs/WHAT_DIDNT_WORK.md like the

five before it. Nothing archy ships today claims a local-model benefit;

archy brief (v0.46) shipped explicitly on judgment ahead of that

measurement rather than on one, and the measurement did not later rescue it.

What is not changing. The original use case is still supported and still

works: layer governance in CI, blast radius and affected-tests for a frontier

agent, the MCP server. Nothing is being removed or renamed. Bugs still get

fixed, pull requests still get reviewed, and the good first issue tickets

are still deliberately left open.

Read this first: I measured the premise, and it was wrong

I built archy after watching coding agents produce changes that passed review and rotted the import graph underneath. Then I measured whether that happens, and it barely does.

measurementsubjectrate
25 live agent runs on the riskiest SWE-bench taskscycles or declared-layer violations0% (95% upper bound 12%)
1,072 human commits, 11 reposcycles introduced0.5% per commit
151 commit pairs in projects that declare an architecturecontract violations0.66% per commit
107 samples of those same projects over timerules going stale, coverage erodingnull on all four pre-registered signals
25 agents each building a backend to a specified architecturewrong dependency direction12%, and a checker in the loop took it to 0%

So: the problem is real (I have watched a developer's own architecture rule get broken in the wild), and it is rare, for agents and humans alike. "Agents will rot your import graph" is a claim I made and have retracted. Nobody has measured what one occurrence costs, so I cannot argue "rare but expensive" either.

The last row is the one that says what archy is for. All 25 unaided agents produced the four layer directories correctly. Every failure was an import going the wrong way: entities reaching down into data access. They got the *layout* right and the *direction* wrong, and a directional rule caught all three cases at no cost to the API's behaviour.

That is the shape of the whole thing. Layout is visible in a file tree. Direction, transitive reach and cycles are visible nowhere, at any zoom level, in any single file. And a separate study found that once one of these lands it is *never repaired*: zero violations were resolved across the sampled corpus, and 2 of 14 repositories sat on broken contracts indefinitely. Rare and permanent, not rare and self-healing.

What that means for what gets built. Feature work premised on "agents will wreck your architecture" went off the table when that premise was retracted, and nothing since has put it back. What survives is narrower and has a number behind it: directional rules, transitive contracts and cycle detection, checked every session. That is a real job and archy does it. What the studies argue against is *more* of it: five of them produced no evidence that another feature is the missing piece, and the honest reading of headroom-limited results is that the next one will not be either.

So the roadmap that was closed in July stays closed, and being active again did not reopen it. Work here goes into the loop that survived rather than into the list that did not: making what archy already computes arrive where an agent will actually read it, and saying honestly what each answer does and does not cover. Bugs get fixed and contributions are welcome, as before.

The full write-up, including the six measurement artifacts that nearly turned a failed study into a success story, is in docs/WHAT_DIDNT_WORK.md. If you only read one thing here, read that.

The failure it catches

Nothing in that picture is derived. Which layer a module belongs to, and which direction is forbidden, are facts you write down in archy.yaml; archy only checks that the source still agrees with them.

Here is the failure it was built for, compressed into one line. This is archy's own source, under archy's own layer rules, with a single import of the kind an agent adds when it needs a helper and the nearest one is upward:

# src/archy/graph.py

from archy.cli import main # convenience import. The diff looks harmless.

$ uvx archy check .

1 layer violation(s) (config: /path/to/archy/archy.yaml)

graph -> cli (forbidden): archy.graph -> archy.cli (line: 40)

layer coverage: 10 of 48 modules (21%), 21 of 137 internal edges (15%); 38 module(s) match no layer (archy check --show-unlayered)

116 scanned module(s) sit outside every declared root package and are not counted above

$ echo $? 1

$ uvx archy cycles .

1 cycle(s) found

Cycle of 12 module(s):

  • archy.affected
  • archy.cli
  • archy.conventions
  • archy.duplicates
  • archy.graph
  • archy.headers
  • archy.impact
  • archy.index
  • archy.mcp
  • archy.scan_config
  • archy.simulate
  • archy.watcher

Edges: archy.affected -> archy.impact (line: 29) archy.cli -> archy.affected (line: 27) archy.cli -> archy.conventions (line: 34) archy.cli -> archy.duplicates (line: 66) archy.cli -> archy.graph (line: 74) archy.cli -> archy.headers (line: 82) archy.cli -> archy.impact (line: 87) archy.cli -> archy.index (lines: 1537, 1538, 1566, 1591) archy.cli -> archy.mcp (line: 1511) archy.cli -> archy.scan_config (line: 111) archy.cli -> archy.simulate (line: 113) archy.conventions -> archy.graph (line: 72) archy.duplicates -> archy.graph (line: 84) archy.graph -> archy.cli (line: 40) archy.headers -> archy.conventions (line: 44) archy.headers -> archy.graph (line: 45) archy.impact -> archy.graph (line: 28) archy.index -> archy.graph (line: 31) archy.mcp -> archy.affected (line: 117) archy.mcp -> archy.conventions (line: 119) archy.mcp -> archy.duplicates (line: 157) archy.mcp -> archy.graph (line: 166) archy.mcp -> archy.impact (line: 182) archy.mcp -> archy.scan_config (line: 202) archy.mcp -> archy.simulate (line: 204) archy.mcp -> archy.watcher (line: 205) archy.scan_config -> archy.graph (line: 25) archy.simulate -> archy.graph (line: 46) archy.watcher -> archy.graph (line: 35) archy.watcher -> archy.index (line: 36)

$ uvx archy score .

archy score: 0.636 (0.639 before the edit)

modularity: 0.670 (48 communities, raw Q=0.505) call-weighted Q=0.699 (calls amplify community structure) acyclicity: 0.927 (1 cycles, tangle=0.073) depth: 0.533 (max depth 7) equality: 0.411 (Gini=0.589) complexity: 0.767 (2888 functions, cc_mean=2.86, cc_max=46)

graph: 164 modules, 319 edges (318 before the edit)

propagation_cost: 0.1089 (diagnostic, not in score; MacCormack reverse-reach fraction)

calls: 1842 resolved across 262 edge(s), 7.03/edge (diagnostic, not in score)

One import, one edge. A forbidden layer edge, a twelve-module cycle, and the score down 0.003. Nothing in the diff itself says any of that, and no amount of reading the file reveals it, because the rule that makes it a violation is not in the source. You supplied it.

Note the size of the score move. 0.003 is small, and that is the honest shape of this problem: no single edit looks alarming on the number. The cycle count going 0 to 1 and check exiting 1 are the signals that matter here, and the score is what catches the version of this that happens forty times over six weeks. Read docs/SCORING.md before treating the composite as a quality gate.

That example is a *direct* forbidden import, which is the easy case: an agent that reads archy.yaml first can catch it without archy. The harder and more honest case is a transitive violation, where the edit adds no forbidden import at all and reading the config tells you nothing. docs/WALKTHROUGH.md is a one-co

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