# mcp-tuikit

> mcp-tuikit — dragoscirjan-mcp-tuikit. Use this tool when you need to develop or run Text User Interface (TUI) applications using Large Language Models (LLMs). It solves problems related to building and deploying TUI apps by providing a kit for efficient development and execution. With git integration, it accepts code repositories as input and outputs functional TUI applications.

Canonical page: https://skillsregistry.net/skills/dragoscirjan-mcp-tuikit  
JSON: https://api.skillsregistry.net/v1/skills/dragoscirjan-mcp-tuikit

## Description

TUI Kit MCP for Developing or Running TUI Apps using LLMs

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/dragoscirjan/mcp-tuikit)

## 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": "dragoscirjan-mcp-tuikit"
    }
  }
}
```

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