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archy

de hslee16versión 0.54.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.hslee16/archy

Instalar

Resumen

Descripción del creador (original en inglés)

Architectural sensor for Python codebases.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "archy": {
      "command": "uvx",
      "args": [
        "archy",
        "mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add archy -- uvx archy mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "archy": {
      "command": "uvx",
      "args": [
        "archy",
        "mcp"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "archy": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "archy",
        "mcp"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub hslee16, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32461 servidores de esta categoría
  • Publicado en el registro más recientemente que el 99% de los otros 32461 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32461 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro archy?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.54.0) llegó al registro ayer.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, dotnet-mcp

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Spec Driven Development

de formulahendry

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

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

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

Se ejecuta en la nube★ 211Actualizado ayer
Instalar

dotnet-mcp

de Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

Se ejecuta en tu computadoraActualizado hoy
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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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