# Great Question

> Use this tool when you need to conduct user research and gather insights from participants to inform product development or business decisions. It solves problems related to understanding user needs and behaviors by creating studies, recruiting participants, and querying insights. This tool accepts research questions and study designs as inputs and outputs actionable insights and user feedback.

Canonical page: https://skillsregistry.net/skills/io-github-greatquestion-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-greatquestion-mcp

## Description

Run user research from any AI tool. Create studies, recruit participants, query insights.

## 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:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.GreatQuestion%2Fmcp)
- **Repository:** <https://github.com/GreatQuestion/mcp>

## Use it

MCP endpoint published by the skill: `https://greatquestion.co/api/mcp/v1`

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": "io-github-greatquestion-mcp"
    }
  }
}
```

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