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Django Chainsaw

de syrian963versión 0.1.5i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.syrian963/django-chainsaw-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

Finds what will hurt in a Django project: cascades, N+1, unsafe migrations, tenant leaks.

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
  • Debes completar: DJANGO_CHAINSAW_PROJECT_PATH, DJANGO_CHAINSAW_SETTINGS_MODULE

Instalación

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

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: DJANGO_CHAINSAW_PROJECT_PATH, DJANGO_CHAINSAW_SETTINGS_MODULE

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": {
    "django-chainsaw": {
      "command": "uvx",
      "args": [
        "django-chainsaw-mcp"
      ],
      "env": {
        "DJANGO_CHAINSAW_PROJECT_PATH": "your-value",
        "DJANGO_CHAINSAW_SETTINGS_MODULE": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add django-chainsaw --env DJANGO_CHAINSAW_PROJECT_PATH=your-value --env DJANGO_CHAINSAW_SETTINGS_MODULE=your-value -- uvx django-chainsaw-mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "django-chainsaw": {
      "command": "uvx",
      "args": [
        "django-chainsaw-mcp"
      ],
      "env": {
        "DJANGO_CHAINSAW_PROJECT_PATH": "your-value",
        "DJANGO_CHAINSAW_SETTINGS_MODULE": "your-value"
      }
    }
  }
}

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": {
    "django-chainsaw": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "django-chainsaw-mcp"
      ],
      "env": {
        "DJANGO_CHAINSAW_PROJECT_PATH": "your-value",
        "DJANGO_CHAINSAW_SETTINGS_MODULE": "your-value"
      }
    }
  }
}

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.

Valores que debes completar

  • DJANGO_CHAINSAW_PROJECT_PATH obligatorio env
    Absolute path to the Django project to analyse - the directory containing manage.py, or whichever directory the settings module is importable from. This server must run in an interpreter that can imp…
  • DJANGO_CHAINSAW_SETTINGS_MODULE obligatorio env
    Dotted path to the settings module, for example myproject.settings. Point it at the settings the site actually runs on: a base or partial module can import cleanly and load no models, and the server…

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 8 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub syrian963, 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 18431 servidores de esta categoría
  • Publicado en el registro más recientemente que el 41% de los otros 18431 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 18431 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 Django Chainsaw?

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?

Debes completar: DJANGO_CHAINSAW_PROJECT_PATH, DJANGO_CHAINSAW_SETTINGS_MODULE

¿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 (0.1.5) llegó al registro hace 2 meses.

¿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, Tethered Trust

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 hace 3 días
Instalar

Tethered Trust

de tetheredtrust.com

Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.

Se ejecuta en la nubeActualizado 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.

django-chainsaw-mcp

An MCP server and CLI that analyses a Django project rather than describing it. Not *what is in here* — *what will hurt*: what a delete takes with it, which migration breaks the pods still running, which query returns another tenant's row, what a save() sets off three hops away.

There is no model in the loop. Every answer comes from the AST and Django's own app registry, so the same input gives the same output, and nothing leaves the machine. It is an MCP server so an assistant can ask it questions, and a CLI so CI can gate on the answers.

22 checks: 19 need the app registry (16 Django, three of those DRF as well), one needs only Python, one reads FastAPI, one reads SQLAlchemy. [Why this exists →](docs/why.md)

Install

It has to run in an interpreter that can import your project. Everything here reads the app registry, which means django.setup(), your settings and your apps:

/path/to/project/.venv/bin/python -m pip install django-chainsaw-mcp

A plain uvx django-chainsaw-mcp starts and then fails every check, because uvx gives it an isolated environment with no trace of your project. To avoid installing, hand uv the dependencies instead:

uvx --with-requirements requirements.txt --from django-chainsaw-mcp django-chainsaw check

Two environment variables point it at the project:

VariableExample
DJANGO_CHAINSAW_PROJECT_PATH/srv/app — the directory settings are importable from
DJANGO_CHAINSAW_SETTINGS_MODULEmyproject.settings

django-chainsaw project-info proves the setup before anything else, and says which half is missing. [Five minutes end to end →](docs/quickstart.md)

mcp-name: io.github.syrian963/django-chainsaw-mcp

One command

django-chainsaw check --tenant-root myapp.Organisation
44 finding(s): 1 critical, 14 high, 29 medium

CRITICAL


[deploy-safety] RemoveField drops 'legacy_code' while code still uses it shop/0002_remove_product_legacy_code During a rolling deploy the old pods keep running against the new schema and will fail. fix: Ship a release that stops using it, deploy that everywhere, then ship this migration.

Every analysis, merged, worst first, one exit code.

On a pull request

This is the part that decides whether a tool like this survives. Point tenancy at a five year old project and it returns two hundred candidates; nobody reads two hundred candidates, somebody adds continue-on-error, and it runs forever with nobody looking.

django-chainsaw tenancy --since main     # only what this branch changed

django-chainsaw tenancy --baseline # everything old, ratcheted django-chainsaw check --sarif out.json # annotate the diff, on the line

--since compares at the merge base, so a branch that is behind main is not blamed for other people's work. --baseline keeps existing findings in the report and stops them blocking; anything new fails the build, and fixing an old one is reported so the number only ever goes down. Findings are fingerprinted on file plus identity, never the line, so adding an import does not resurrect twenty findings nobody touched.

--sarif writes the format GitHub and GitLab annotate a pull request with, so findings land on the line instead of in a log nobody opens.

[baseline.md](docs/baseline.md) · [cli.md](docs/cli.md)

As an MCP server

claude mcp add django-chainsaw --scope local \

--env DJANGO_CHAINSAW_PROJECT_PATH=/srv/app \ --env DJANGO_CHAINSAW_SETTINGS_MODULE=myproject.settings \ -- /srv/app/.venv/bin/python -m django_chainsaw_mcp.server

Ask it project_info first: the smallest call that proves both the transport and the Django boot. Five prompts carry the ordering the tools do not — before_deploy, why_is_this_slow, what_breaks_if_i_delete, triage, review_this_branch.

[Claude Desktop, Cursor, VS Code, Windsurf, Zed, Docker →](docs/clients.md)

Or as one HTML file

django-chainsaw report --out findings.html --title myproject

Grouped by endpoint is the view that matters: which pages carry this, and through what call path. No server, no network, no build step — the CSS, the script and the data are all in the file, so it works from a CI artifact or an email attachment. [report.md](docs/report.md)

The checks

Django projects — these read the app registry, so they need DJANGO_CHAINSAW_SETTINGS_MODULE as well as the project path

ToolAnswers
project_infoDoes the target project load at all? Run this first when something is broken.
list_modelsEvery model with fields, relation kind, direction and on_delete.
delete_impactDelete one row: what cascades, what blocks, what gets nulled. Transitive.
find_n_plus_oneRelation traversals in a template that each cost a query, and the fix.
scan_templatesThe same across a directory, resolving context from views.
migration_riskMigrations rated: blocks writes, rewrites the table, breaks running code.
deploy_safetyIs this destructive migration safe to ship yet?
find_unscoped_queriesWhich queries read data the caller may not own? The IDOR shape.
what_happens_onWhat does this save actually trigger? Follows the signal chain.
missing_indexesFields the code filters or sorts on that carry no index.
datetime_auditNaive datetimes and field defaults that break when the clock moves.
serializer_exposureWhat DRF serializers expose, including what the next migration will add.
serializer_nplusoneN+1 in DRF serializers, which is where it lives in an API project.
explain_modelEverything about one model, plus the risks only visible combined.
endpoint_costHow many queries one request costs, before anybody sends one.
api_contract / api_contract_checkWhat this branch changes about the API, and who it breaks.
escaping_side_effectsMail and tasks fired inside a transaction that can still roll back.
bypassed_effectsBulk writes that skip everything the save() chain promised.
race_conditionsCounters read into Python, changed, and saved. Also unsafe upserts.
money_precisionWhere a decimal amount stops being exact.
celery_argumentsWhat the worker actually receives, and whether it can even be called.
queries_in_loopsQueries written inside a loop, split by which of three fixes applies.
defeated_prefetchesPrefetches paid for and then re-queried by the accessor that reads them.
request_impactEvery finding grouped by the entry points that reach it, so the question becomes which endpoint to fix.
choice_typosLiterals a field's choices will never match: valid SQL, zero rows, no exception.
multiplied_aggregatesCounts and sums multiplied by a join across two multi-valued relations.
dangling_referencesURL names, templates, signal senders and Celery tasks nothing will resolve.
open_endpointsSensitive fields on endpoints anybody can call.
unused_eager_loadingJoins and prefetches nothing in the response reads.
checkRun everything that applies, one severity-sorted list, one exit code.
suggest_fixesFindings turned into code, grouped by how safe each one is to apply.

Any Python project — no Django, no settings module

ToolAnswers
project_profileWhat is this built on? Counted from the project's own imports.
blocking_in_asyncWhich synchronous call stops the event loop for every request?
fastapi_exposureEndpoints that serialise more than they declare.
sqlalchemy_nplusoneRelationships loaded one row at a time, including during serialisation.
amplificationWhich endpoint can a stranger use to exhaust the database?

Plus the resource django://models. check profiles the project first and runs what applies, and says "does not apply, and here is why" for the rest — silence would read exactly like a clean result. Nothing about the FastAPI support imports the project, so those checks run on a checkout with no dependencies installed at all.

36 of the 37 tools declare readOnlyHint, so a client can stop asking permission for each call; the exception is api_contract_check with update=True, which writes the snapshot and says so. [Every tool, argument and output shape →](docs/tools.md)

What it will not tell you

Nothing here executes the target project or reads its data, which buys safety and speed and costs certainty. Every tool states its own blind spots in its own output:

  • delete_impact does not run signals or custom delete() overrides.
  • find_n_plus_one reports candidates; it reads the template and the model graph, not the queryset in the view.
  • migration_risk does not know row counts, PostgreSQL version, or deploy strategy.
  • deploy_safety cannot see getattr(obj, name), runtime SQL, or another repository. CLEAR means nothing was found here.

A confident wrong answer is worse than an incomplete one. In this kind of tooling the failure mode is not a crash, it is a plausible sentence that sends someone in the wrong direction. [limitations.md](docs/limitations.md)

What it does to your code

It imports the target project. django.setup() imports your settings and every app in INSTALLED_APPS, and the checks additionally import the modules that declare serializers, views and URLs — so anything those do at import time happens. Do not point this at code you would not run.

It does not run your application: no view, no task, no management command. One check reads the database, read-only — MigrationLoader reads django_migrations, and nothing is written. It writes files only when you ask: fix --write applies the mechanical class of fix only, and a baseline, a contract snapshot or --sarif write where you tell them to. Nothing leaves the machine — no network calls, no telemetry, no uploads.

[SECURITY.md](SECURITY.md)

Documentation

[docs/](docs/README.md) is the index.

why.mdwhy this exists, three checks worth reading about, and the bar a new one clears
quickstart.mdfive minutes from clone to first finding
usage.mdinstalling against a real project, Docker, troubleshooting
clients.mdClaude Code, Cursor, VS Code, Windsurf, Zed
cli.mdcommands, exit codes, CI

Solo se muestra el principio; lee el resto en el repo

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