# DRF Docs

> DRF Docs — abdulkhalek-1-drf-docs. Use this tool when you need to generate and access documentation for Django REST Framework APIs, solving problems of API discovery and integration. It takes API schemas and models as input and produces searchable endpoint documentation, request/response examples, and integration code in various programming languages as output. Ideal for use cases where AI coding agents require automated API documentation and code generation.

Canonical page: https://skillsregistry.net/skills/abdulkhalek-1-drf-docs  
JSON: https://api.skillsregistry.net/v1/skills/abdulkhalek-1-drf-docs

## Description

Serves Django REST Framework API documentation via the Model Context Protocol, enabling AI coding agents to browse endpoints, schemas, and authentication methods. Provides tools for searching endpoints, generating request/response examples, and producing integration code in JavaScript, TypeScript, Python, and cURL. Supports drf-spectacular, drf-yasg, and DRF's built-in schema generation with both stdio and streamable-http transports.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-31

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/abdulkhalek-1-drf-docs)
- **Repository:** <https://github.com/abdulkhalek-1/drf-mcp-docs>

## 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": "abdulkhalek-1-drf-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abdulkhalek-1-drf-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abdulkhalek-1-drf-docs/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