How do I install the A2ui Atomic Catalog skill?

Run npx skillmds@latest add a2uicatalog/a2ui-atomic-catalog in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is A2ui Atomic Catalog safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with A2ui Atomic Catalog?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is A2ui Atomic Catalog free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published A2ui Atomic Catalog?

a2uicatalog (@a2uicatalog) published this skill. Their other Agent Skills are listed on their SkillMD profile.

A2ui Atomic Catalog by a2uicatalog — Agent Skill

Name: A2ui Atomic Catalog
Author: a2uicatalog

A2ui Atomic Catalog

Renders real interactive UI — charts, gauges, steppers, dashboards, decision trees — for AI agents instead of generating raw HTML. Use this skill when a user needs to SEE something rather than read a description of it, and the host (Claude, another MCP client, a Gemini Enterprise agent) can display rendered visuals or open a link. Do not use for plain prose answers, for data retrieval (this renders data, it does not fetch it beyond a few declared sources), or on hosts that cannot display HTML.

a2uicatalog 76c541d 24 files · 1.1 MB Updated Sep 17, 2026

File contents

A2UI Atomic Catalog

474 typed UI atoms an AI agent composes into real rendered interfaces — web, Google Meet, Apps Script, Google Chat and MCP Apps — instead of writing HTML by hand. The agent names a component from a fixed vocabulary; a renderer that already knows that component draws it.

Connect

MCP server, no auth, no signup, no API key:

https://a2uicatalog.ai/mcp

POST speaks JSON-RPC 2.0 (MCP Streamable HTTP). GET with Accept: application/json returns a machine-readable descriptor listing every tool, current rate limits, and documentation links.

How to use it

list_catalogs — pick the catalog slice the task actually needs. Do not load the whole 474-atom vocabulary into context for a one-chart request.
get_catalog — read the real field contracts for that slice. Never guess a field name; a hallucinated field is a validation error, not a broken render.
Render, by host capability:
- render_surface — MCP Apps-capable hosts (Claude.ai and others): renders inline in the conversation, no URL.
- preview_url — any other host: returns a shareable link (rate-limited demo renderer).
- make_surface_url — render against the caller's own deployed renderer instead of the shared demo one; no rate limit.

When this is the wrong tool

The answer is better as prose than a visual.
The host cannot display HTML or open a link.
The task needs live data this catalog doesn't already declare a source for — this skill renders data, it does not fetch arbitrary data.

Reference

Document	URL
OpenAPI specification	https://a2uicatalog.ai/openapi.json
Full atom vocabulary	https://a2uicatalog.ai/spec.json
Strict per-atom JSON Schema	https://a2uicatalog.ai/catalogue/atoms-json-schema.json
Agent overview	https://a2uicatalog.ai/llms.txt
A2A agent card	https://a2uicatalog.ai/.well-known/agent-card.json

Free, MIT licensed, no signup. Independent, unofficial project — not affiliated with, endorsed by, or sponsored by Google or Anthropic. A2UI is Google's protocol; MCP is Anthropic's. Source: https://github.com/a2uicatalog/a2ui

---name: a2ui-atomic-catalogdescription: Renders real interactive UI — charts, gauges, steppers, dashboards, decision trees — for AI agents instead of generating raw HTML. Use this skill when a user needs to SEE something rather than read a description of it, and the host (Claude, another MCP client, a Gemini Enterprise agent) can display rendered visuals or open a link. Do not use for plain prose answers, for data retrieval (this renders data, it does not fetch it beyond a few declared sources), or on hosts that cannot display HTML.---# A2UI Atomic Catalog474 typed UI atoms an AI agent composes into real rendered interfaces — web, Google Meet,Apps Script, Google Chat and MCP Apps — instead of writing HTML by hand. The agent names acomponent from a fixed vocabulary; a renderer that already knows that component draws it.## ConnectMCP server, no auth, no signup, no API key:```https://a2uicatalog.ai/mcp````POST` speaks JSON-RPC 2.0 (MCP Streamable HTTP). `GET` with `Accept: application/json`returns a machine-readable descriptor listing every tool, current rate limits, anddocumentation links.## How to use it1. **`list_catalogs`** — pick the catalog slice the task actually needs. Do not load the whole 474-atom vocabulary into context for a one-chart request.2. **`get_catalog`** — read the real field contracts for that slice. Never guess a field name; a hallucinated field is a validation error, not a broken render.3. **Render**, by host capability: - `render_surface` — MCP Apps-capable hosts (Claude.ai and others): renders inline in the conversation, no URL. - `preview_url` — any other host: returns a shareable link (rate-limited demo renderer). - `make_surface_url` — render against the caller's own deployed renderer instead of the shared demo one; no rate limit.## When this is the wrong tool- The answer is better as prose than a visual.- The host cannot display HTML or open a link.- The task needs live data this catalog doesn't already declare a source for — this skill renders data, it does not fetch arbitrary data.## Reference| Document | URL ||---|---|| OpenAPI specification | https://a2uicatalog.ai/openapi.json || Full atom vocabulary | https://a2uicatalog.ai/spec.json || Strict per-atom JSON Schema | https://a2uicatalog.ai/catalogue/atoms-json-schema.json || Agent overview | https://a2uicatalog.ai/llms.txt || A2A agent card | https://a2uicatalog.ai/.well-known/agent-card.json |Free, MIT licensed, no signup. Independent, unofficial project — not affiliated with,endorsed by, or sponsored by Google or Anthropic. A2UI is Google's protocol; MCP isAnthropic's. Source: https://github.com/a2uicatalog/a2ui

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