# MDAN

> Use this tool when you need to streamline AI-driven software development through collaborative agents and integrated development environment (IDE) tools. MDAN solves problems related to workflow execution, impact analysis, and ecosystem search by providing interactive wizards and structured debate. It takes in development tasks and outputs optimized software solutions, ideal for use cases requiring efficient and intelligent coding assistance.

Canonical page: https://skillsregistry.net/skills/khalilbenaz-mdan  
JSON: https://api.skillsregistry.net/v1/skills/khalilbenaz-mdan

## Description

Multi-Agent Development Agentic Network that enables AI-driven software development through specialized agents, interactive wizards, and structured debate, with MCP integration for IDE tools like workflow execution, impact analysis, and ecosystem search.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w2npibg7fj)
- **Repository:** <https://github.com/khalilbenaz/MDAN>

## 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": "khalilbenaz-mdan"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khalilbenaz-mdan` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khalilbenaz-mdan/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