# AppointySaastak UI Components

> Use this tool when you need to access and utilize pre-built UI components for login interfaces, streamlining development and eliminating manual code retrieval. It provides a resource-based interface for AI assistants to access UI templates, along with associated HTML, CSS, and JavaScript files. Ideal for AI-powered code generation workflows, it enables seamless integration between AI assistants and pre-built UI components.

Canonical page: https://skillsregistry.net/skills/divyanshu-vashu-appointysaastak-ui-components  
JSON: https://api.skillsregistry.net/v1/skills/divyanshu-vashu-appointysaastak-ui-components

## Description

UITemplateServer provides a resource-based interface for AI assistants to access and utilize UI components from the AppointySaastak library. Built with the Model Context Protocol SDK, it serves login interface templates (both basic and modern variants) with their associated HTML, CSS, and JavaScript files. The server implements robust error handling and metadata enrichment, making it ideal for AI-powered code generation workflows where the LLM needs to combine UI templates with backend code. This implementation enables seamless integration between AI assistants and pre-built UI components, streamlining the development of login interfaces without requiring manual code retrieval.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/divyanshu-vashu-appointysaastak-ui-components)
- **Repository:** <https://github.com/divyanshu-vashu/mcp_server>

## 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": "divyanshu-vashu-appointysaastak-ui-components"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/divyanshu-vashu-appointysaastak-ui-components` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/divyanshu-vashu-appointysaastak-ui-components/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