# mcp-pop-up

> Use this tool when you need to gather user input or guidance for a local Large Language Model (LLM) via a native desktop pop-up dialog. It solves problems of unclear or incomplete context by allowing users to provide additional information through multiple-choice or free-text input. The tool takes in configurable options and user responses as inputs, and outputs guided LLM results, ideal for use cases requiring human-in-the-loop feedback or clarification.

Canonical page: https://skillsregistry.net/skills/giantbeaver9-mcp-pop-up  
JSON: https://api.skillsregistry.net/v1/skills/giantbeaver9-mcp-pop-up

## Description

Enables a local LLM to ask the user for guidance via a native desktop pop-up dialog, with configurable options and multiple-choice or free-text input.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d8skpkvrey)
- **Repository:** <https://github.com/GiantBeaver9/mcp-pop-up>

## 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": "giantbeaver9-mcp-pop-up"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/giantbeaver9-mcp-pop-up` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/giantbeaver9-mcp-pop-up/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