# Django AI Boost

> Use this tool when you need to enhance AI-assisted development in Django projects by exposing project information through a read-only interface. It solves problems related to AI understanding and interaction with Django codebases, providing access to models, database schemas, and other project details. The tool accepts queries with filtering and ordering capabilities, and returns relevant project information to facilitate efficient AI-assisted development.

Canonical page: https://skillsregistry.net/skills/raisiqueira-django-ai-boost  
JSON: https://api.skillsregistry.net/v1/skills/raisiqueira-django-ai-boost

## Description

Exposes Django project information through MCP tools for AI-assisted development. Provides read-only access to models, URL patterns, database schemas, settings, management commands, and application logs. Enables safe querying with filtering and ordering capabilities. Inspired by Laravel Boost, designed to help AI assistants understand and interact with Django codebases.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/raisiqueira-django-ai-boost)
- **Repository:** <https://github.com/vintasoftware/django-ai-boost>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "raisiqueira-django-ai-boost"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raisiqueira-django-ai-boost` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raisiqueira-django-ai-boost/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt