# drf-mcp

> Use this tool when you need to integrate Django REST Framework APIs with AI agents, exposing APIs as MCP tools for seamless interaction and automatic discovery. It solves problems of compatibility and security between Django REST Framework and AI agents, enabling secure and efficient data exchange. The tool takes Django REST Framework APIs as input and outputs MCP-compatible tools, ideal for use cases requiring AI-driven data processing and analysis.

Canonical page: https://skillsregistry.net/skills/ziyacivan-drf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ziyacivan-drf-mcp

## Description

Exposes Django REST Framework APIs as MCP tools for AI agents via the Model Context Protocol, with automatic discovery and security.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e6yl5pyyx3)
- **Repository:** <https://github.com/ziyacivan/drf-mcp>

## 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": "ziyacivan-drf-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ziyacivan-drf-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ziyacivan-drf-mcp/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
