# Great Question MCP Server

> Great Question MCP Server — greatquestion-mcp. Use this tool when you need to streamline user research workflows for AI assistants, enabling them to create studies, recruit participants, and query insights directly. It solves problems of manual data collection and analysis, providing a seamless interface for inputs like study parameters and outputs like actionable insights. Ideal for use cases requiring efficient and automated user research, such as product development and market analysis.

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

## Description

Enables AI assistants to conduct user research workflows directly from Great Question, including creating studies, recruiting participants, and querying insights.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b02d9d4s9z)
- **Repository:** <https://github.com/GreatQuestion/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": "greatquestion-mcp"
    }
  }
}
```

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