原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Great Question

作者:GreatQuestion版本 1.0.0i★ –i在云端运行
注册名称io.github.GreatQuestion/mcp

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://greatquestion.co/api/mcp/v1

在终端中运行这条命令

claude mcp add --transport http greatquestion https://greatquestion.co/api/mcp/v1

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "greatquestion": {
      "url": "https://greatquestion.co/api/mcp/v1"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "greatquestion": {
      "type": "http",
      "url": "https://greatquestion.co/api/mcp/v1"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://greatquestion.co/api/mcp/v1

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 GreatQuestion 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7247 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7247 个服务器的 11% 更新
  • 基础检查结果等于或优于此分类中其他 7247 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Great Question 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于6个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Great Question MCP Server

Run user research from any AI tool. The official Model Context Protocol (MCP) server for Great Question — the AI UX research platform for product builders.

Once connected, Claude, ChatGPT, Cursor, Windsurf, Gemini CLI, and any other MCP-compatible client can create research studies, recruit participants, and query insights directly from your Great Question workspace.

*"The Great Question MCP surfaces insight across studies in minutes, not days. It brings real customer patterns into discovery when decisions are happening, so we can act with confidence and build what matters most."*

— Matt Radel, VP of Design & UX at InvoiceCloud


What it does

This is not a read-only research lookup tool. AI agents connected to this server can actively run research workflows:

  • 🎤 Create moderated interview studies from a single prompt
  • 📝 Build multi-question surveys without leaving the conversation
  • 🧪 Set up prototype tests with screeners, scheduling, and incentives
  • 🎯 Search your customer CRM to identify the right participants for each study
  • 🔍 Query your research repository for insights, summaries, and reports across past sessions, transcripts, and tags

Who it's for

  • Product managers bringing the customer voice into PRDs and discovery work
  • UX researchers scaling research programs without scaling hands-on coordination
  • Designers referencing past usability findings while building new flows
  • Research ops teams streamlining workflows across studies and repositories
  • Founders doing product discovery without a dedicated research function

Setup

Prerequisites
  • A Great Question workspace (any plan)
  • An MCP-compatible client (Claude Desktop, Claude Code, Cursor, Windsurf, ChatGPT, Gemini CLI, or any other)
Installation

The Great Question MCP is hosted — there is nothing to install locally. You add it to your MCP client by pointing it at our endpoint:

https://greatquestion.co/api/mcp/v1
Claude Code
claude mcp add --transport http great-question https://greatquestion.co/api/mcp/v1
Claude Desktop

Open Claude Desktop → Settings → Developer → Edit Config, then add:

{

"mcpServers": { "great-question": { "type": "http", "url": "https://greatquestion.co/api/mcp/v1" } } }

Restart Claude Desktop. You'll be prompted to authorize via OAuth on first use.

Cursor

Cursor → Settings → MCP → Add new MCP server:

{

"mcpServers": { "great-question": { "url": "https://greatquestion.co/api/mcp/v1" } } }

Windsurf

Windsurf Settings → Cascade → MCP Servers → Add custom server with URL https://greatquestion.co/api/mcp/v1. Windsurf supports OAuth automatically.

ChatGPT

In ChatGPT, go to Settings → Connectors → Add connector. Use the URL https://greatquestion.co/api/mcp/v1. You'll be prompted to sign in via OAuth.

Gemini CLI
gemini extensions install https://github.com/GreatQuestion/mcp
Other MCP clients

Any MCP client that supports remote (HTTP) servers can connect using the URL https://greatquestion.co/api/mcp/v1. Authentication is OAuth 2.0.

Authentication & security

  • OAuth 2.0 — credentials are never exposed to the AI client. You sign in to Great Question on first connection; the AI agent receives a scoped access token.
  • Role-based permissions — every action respects the role you have in your Great Question workspace. If you can't create studies in the UI, you can't create them via the MCP either.
  • SOC 2 Type II compliant — Great Question maintains an active SOC 2 Type II attestation; the MCP inherits the same controls as the rest of the platform.
  • Workspace isolation — your data never crosses workspace boundaries.

Example prompts

Here are some prompts that work well with the Great Question MCP. They're meant as a starting point — the server exposes the full set of research workflows, so phrasing is flexible.

  • *"Create a moderated interview study about checkout abandonment, 6 participants from our enterprise customers, 30 minutes, $100 incentive."*
  • *"Find the 5 most-mentioned pain points across our usability tests from the last 90 days."*
  • *"Recruit 10 PMs from our CRM who fit our ICP for a survey on AI tool adoption."*
  • *"Summarize what we've heard from customers about our pricing in the last quarter."*
  • *"Pull every quote from our research repository where someone mentions [feature name]."*

Tools exposed

The server exposes the following toolsets. Tool names and exact arguments are discovered automatically by your MCP client — this list is for orientation.

  • Studies — list, create, configure, and launch interview studies, surveys, and prototype tests
  • Participants — search your customer CRM, segment by attributes, generate participant lists for studies
  • Scheduling & screeners — configure availability, screening questions, and incentive structures
  • Repository search — full-text and semantic search across past sessions, transcripts, highlights, and tags
  • Insights & reports — query existing reports and generate summaries across multiple studies

Resources

Support

  • Bugs and feature requests: open an issue
  • Customer support: support@greatquestion.co
  • Security disclosures: security@greatquestion.co

License

MIT — see LICENSE.

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