# archify-mcp

> Use this tool when you need to analyze project ideas and determine the best technical approach. It solves problems related to tech stack selection, feature prioritization, and architecture planning by providing personalized recommendations. The tool takes project ideas as input and outputs suggested tech stacks, features, and architecture patterns, making it ideal for use during the project planning phase.

Canonical page: https://skillsregistry.net/skills/tai-dt-archify-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tai-dt-archify-mcp

## Description

Analyzes project ideas and recommends suitable tech stacks, features, and architecture patterns.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jhuwzwo9up)
- **Repository:** <https://github.com/Tai-DT/archify-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": "tai-dt-archify-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tai-dt-archify-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tai-dt-archify-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