# archy

> Use this tool when you need to organize and structure information, as archy provides core functionality for categorizing and linking data. It solves problems related to data management, such as creating taxonomies and mapping relationships between concepts. With archy, you can input unstructured data and output a structured framework, making it useful in contexts where information architecture is crucial.

Canonical page: https://skillsregistry.net/skills/phxdev1-archy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/phxdev1-archy-mcp

## Description

archy

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-16

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/unblbvs8y9)
- **Repository:** <https://github.com/phxdev1/archy-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": "phxdev1-archy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phxdev1-archy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phxdev1-archy-mcp/pull`

---
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