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Django Chainsaw

by syrian963version 0.1.5i★ –iRuns on your computer
Registry nameio.github.syrian963/django-chainsaw-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: DJANGO_CHAINSAW_PROJECT_PATH, DJANGO_CHAINSAW_SETTINGS_MODULE

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: DJANGO_CHAINSAW_PROJECT_PATH, DJANGO_CHAINSAW_SETTINGS_MODULE

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • DJANGO_CHAINSAW_PROJECT_PATH required 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 required 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…

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account syrian963, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18590 servers in this category
  • Published to the registry more recently than 41% of the other 18590 servers in this category
  • Basic checks equal to or better than 100% of the other 18590 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Django Chainsaw safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DJANGO_CHAINSAW_PROJECT_PATH, DJANGO_CHAINSAW_SETTINGS_MODULE

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.5) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, render.ai Presentations

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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