# AgentUI

> AgentUI — skulitom-agentui. Use this tool when you need to facilitate communication between coding agents and humans through interactive user interfaces. AgentUI solves problems of complex decision-making and data validation by providing intuitive UI elements like sliders, forms, and live previews. It takes in coding agent requests and outputs human-validated inputs via interactive UIs, ideal for use cases requiring human oversight and feedback in coding tasks.

Canonical page: https://skillsregistry.net/skills/skulitom-agentui  
JSON: https://api.skillsregistry.net/v1/skills/skulitom-agentui

## Description

An MCP server that lets coding agents ask their human via interactive UIs like sliders, forms, diffs, and live previews.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ljcqg5o99n)
- **Repository:** <https://github.com/skulitom/AgentUI>

## 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": "skulitom-agentui"
    }
  }
}
```

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