# com.googleapis.design/mcp

> Use this tool when you need to enhance the design output and understanding of AI systems, solving problems related to user experience and interface design. It provides UX capabilities to improve the usability and interpretability of AI models, accepting design inputs and generating optimized design outputs. Ideal for use cases where human-centered design and AI system transparency are crucial.

Canonical page: https://skillsregistry.net/skills/com-googleapis-design-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-googleapis-design-mcp

## Description

Provides UX capabilities to enhance the design output and understanding of AI systems.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-10

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.googleapis.design%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://design.googleapis.com/mcp`

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": "com-googleapis-design-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-googleapis-design-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-googleapis-design-mcp/pull`

---
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