# uispec

> uispec — gnana997-uispec. Use this tool when you need to integrate AI agents with your UI component library, providing them with deep knowledge of props, tokens, and guidelines for real-time validation. It solves problems of inconsistent UI implementation and enables seamless interaction between AI agents and UI components. The uispec MCP server takes in UI component libraries and git repositories as inputs, outputting validated and consistent UI implementations.

Canonical page: https://skillsregistry.net/skills/gnana997-uispec  
JSON: https://api.skillsregistry.net/v1/skills/gnana997-uispec

## Description

MCP server that gives AI agents deep knowledge of your UI component library — props, tokens, guidelines, and real-time validation.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/gnana997/uispec)

## 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": "gnana997-uispec"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gnana997-uispec` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gnana997-uispec/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