# Low-Code UI MCP Server

> Use this tool when you need to automate UI generation for low-code applications, streamlining interface creation by analyzing runtime data objects and suggesting optimal UI component instructions. It solves problems of manual UI design and development, enabling rapid prototyping and deployment. Ideal for use cases where data-driven interfaces require efficient and adaptive rendering, with inputs of runtime data objects and outputs of optimized UI component instructions.

Canonical page: https://skillsregistry.net/skills/markgregg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/markgregg-mcp

## Description

Analyzes runtime data objects to suggest optimal UI component instructions for a low-code renderer using structural heuristics. It automatically maps data patterns to specific UI elements like tables, carousels, and cards to streamline interface generation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cw7ezw322e)
- **Repository:** <https://github.com/markgregg/mcp>

## 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": "markgregg-mcp"
    }
  }
}
```

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