
Great Question
io.github.GreatQuestion由 GitHub 帳號 GreatQuestion 發布v1.0.0更新於 Oct 25, 2026
Run user research from any AI tool. Create studies, recruit participants, query insights.
概覽
Great Question 官方 MCP 伺服器,讓 AI 助理建立使用者研究專案、招募參與者並查詢研究洞察。
- 可以做什麼
- 透過一句提示或對話建立、設定並啟動訪談研究、問卷和原型測試。搜尋客戶 CRM,依屬性分群並產生研究參與者名單。設定可預約時段、篩選問題和激勵方案。在研究庫中檢索過往訪談、逐字稿、標註和標籤。查詢既有報告並跨多項研究產生摘要。
- 適用情境
- 適合已使用 Great Question 的產品、設計與研究團隊,希望不離開 AI 用戶端就能執行研究流程並取得客戶洞察。也適合需要快速發起研究、招募參與者或查閱過往發現的探索工作。
- 執行需求
- 遠端託管端點,無需本機安裝。需要任一方案的 Great Question 工作區,以及支援遠端 HTTP 伺服器的 MCP 用戶端。首次連線需以 OAuth 2.0 登入 Great Question;未宣告 API 金鑰或環境變數。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Great Question,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.GreatQuestion%2Fmcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"great-question": {
"type": "http",
"url": "https://greatquestion.co/api/mcp/v1"
}
}
}README
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:
Claude Code
Claude Desktop
Open Claude Desktop → Settings → Developer → Edit Config, then add:
Restart Claude Desktop. You'll be prompted to authorize via OAuth on first use.
Cursor
Cursor → Settings → MCP → Add new MCP server:
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
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
- Landing page: greatquestion.co/features/mcp-integration
- Great Question: greatquestion.co
- Endpoint:
https://greatquestion.co/api/mcp/v1 - MCP namespace:
io.github.greatquestion/mcp - Status: Live production
- Transport: Streamable HTTP
- Auth: OAuth 2.0
Support
- Bugs and feature requests: open an issue
- Customer support: [email protected]
- Security disclosures: [email protected]
License
MIT — see LICENSE.
來源:README.md,提交 82b1bba
工具
0版本歷史
1- v1.0.0最新Sep 16, 2026
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