django-admin-mcp AGENTS.md

django-admin-mcp AGENTS.md is an instructions file for Codex, OpenCode from 7tg/django-admin-mcp. It costs 2,370 tokens per session, scanned A, original, MIT.

A Django package that lets AI assistants use Django’s built-in administration area through HTTP. Django is a Python web framework, and its admin area is the screen used to manage database records.

In plain words
What is it for?
It helps assistants view, create, edit, delete, and bulk-update records, run admin actions, inspect models and related objects, and view change history.
Why use it?
It gives assistants a standard way to inspect and change admin-managed data while following the permissions already configured for each user.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/7tg/django-admin-mcp/agents-md
Clone the repo
git clone --depth 1 https://github.com/7tg/django-admin-mcp

Made for: Codex, OpenCode.

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README.md
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Per session 2,370 This file is loaded in full into every session.
When invoked 2,370 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.02370 $0.02370
Opus 5 $0.01185 $0.01185
Sonnet 5 $0.00474 $0.00474
Haiku 4.5 $0.00237 $0.00237

Measured 3d ago against content hash 41a7902cee0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

django-admin-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 336 lines

How it starts

The opening of the file, as written. The whole thing — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - AI Agent Instructions for django-admin-mcp

This document provides context and guidelines for AI agents (GitHub Copilot, etc.) working on this codebase.

Project Overview

django-admin-mcp is a Django package that exposes Django admin models to MCP (Model Context Protocol) clients via HTTP. It enables AI assistants to interact with Django admin interfaces through standardized tools, providing CRUD operations, admin actions, model history, and more.

Key Features

  • Zero dependencies beyond Django and Pydantic
  • Token-based HTTP authentication with configurable expiry
  • Respects Django admin permissions (view/add/change/delete)
  • Full CRUD, bulk operations, admin actions, model introspection
  • Related object traversal and change history access

Architecture

MCP Client (IDE, Agent, etc.)
    ↓ HTTP + Bearer Token
MCPHTTPView (django_admin_mcp/views.py)
    ↓ JSON-RPC
Tools Registry (django_admin_mcp/tools/registry.py)
    ↓
Handlers (django_admin_mcp/handlers/)
    ↓
Django Admin + ModelAdmin
    ↓
Database

Directory Structure

django-admin-mcp/
├── django_admin_mcp/           # Main package
│   ├── __init__.py             # Public exports (MCPAdminMixin)
│   ├── mixin.py                # Core MCPAdminMixin class
│   ├── models.py               # MCPToken model (authentication)
│   ├── views.py                # HTTP view (MCPHTTPView)
│   ├── admin.py                # Django admin registration
│   ├── apps.py                 # Django app config
│   ├── urls.py                 # URL routing
│   ├── handlers/               # Operation handlers
│   │   ├── base.py             # Base utilities, permissions
│   │   ├── crud.py             # Create, Read, Update, Delete
│   │   ├── actions.py          # Admin actions
│   │   ├── relations.py        # Foreign key relations
│   │   └── meta.py             # Model introspection
│   ├── protocol/               # MCP protocol implementation
│   │   ├── types.py            # Pydantic type definitions
│   │   ├── jsonrpc.py          # JSON-RPC implementation
│   │   └── errors.py           # Error definitions
│   ├── tools/                  # Tool registry and management
│   │   ├── registry.py         # Tool registration and routing
│   │   └── __init__.py         # Tool exports
│   └── migrations/             # Database migrations
├── example/                    # Example Django application
├── tests/                      # Test suite (pytest)
├── docs/                       # Documentation (OpenAPI specs)
└── plans/                      # Future improvement plans

Read the full file on GitHub · 336 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 336 lines · 2,370 tokens per session scan A 41a7902cee0d

Subscribe to this mod's changes

django-admin-mcp AGENTS.md is an instructions file published in the GitHub repository 7tg/django-admin-mcp (16 stars, last pushed 1mo ago), licensed MIT. It adds 2,370 tokens to every session, about $0.0119 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.