# Django AI Boost

> Use this tool when you need to enhance AI assistant integration with Django applications, solving problems of codebase comprehension and interaction. Django AI Boost exposes project information through the Model Context Protocol, enabling AI tools to better understand Django code. It is ideal for developers seeking to leverage AI assistance in their Django development workflow.

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

## Description

A Model Context Protocol (MCP) server for developing Django applications. It exposes Django project information through MCP tools, enabling AI assistants to better understand and interact with Django codebases.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zxadzln4j8)
- **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": "vintasoftware-django-ai-boost"
    }
  }
}
```

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