# mcp-elicitations

> Use this tool when you need to gather user preferences during video search executions, as it leverages elicitations to ask users for input and refine search results. This demonstration MCP server solves the problem of unclear user preferences by interactively soliciting feedback, taking in user input and outputting tailored search results. It is ideal for use cases where user engagement and personalized video search outcomes are crucial.

Canonical page: https://skillsregistry.net/skills/0gis0-mcp-elicitations  
JSON: https://api.skillsregistry.net/v1/skills/0gis0-mcp-elicitations

## Description

A demonstration MCP server that shows how to use elicitations to ask users for preferences during a video search tool execution.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nkc3lg26u9)
- **Repository:** <https://github.com/0GiS0/mcp-elicitations>

## 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": "0gis0-mcp-elicitations"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0gis0-mcp-elicitations` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0gis0-mcp-elicitations/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