# a2ui

> a2ui — a2uicatalog-a2ui. Use this tool when you need to create typed UI vocabularies for AI agents, enabling them to compose real rendered interfaces across various platforms, including web, Google Meet, and Google Chat. It solves the problem of building consistent and interactive interfaces for AI agents, allowing for seamless integration with multiple applications. With a2ui, agents can receive and output UI components, facilitating efficient communication and interaction.

Canonical page: https://skillsregistry.net/skills/a2uicatalog-a2ui  
JSON: https://api.skillsregistry.net/v1/skills/a2uicatalog-a2ui

## Description

Typed UI vocabulary for AI agents using the a2ui protocol  — 474 atoms an agent composes into real rendered interfaces across web, Google Meet, Apps Script, Google Chat and MCP Apps. MCP server, no signup.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/a2uicatalog/a2ui)

## 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": "a2uicatalog-a2ui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/a2uicatalog-a2ui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/a2uicatalog-a2ui/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