Surveyloop

io.github.CloudCorpRecords由 GitHub 帳號 CloudCorpRecords 發布v0.1.0更新於 Nov 4, 2026

AI surveys end to end: create and publish surveys, collect responses, generate analysis reports.

已驗證STDIO僅桌面資料與分析商業與電商

概覽

AI 產生的概覽

本機 stdio 橋接服務,連接託管的 Inquira 服務,讓助理建立、發布 AI 問卷、讀取回覆並產生分析報告。

可以做什麼
  • 依研究目標生成問卷,可指定語言並選擇建立後立即發布
  • 依狀態篩選並列出帳號下的所有問卷
  • 取得指定問卷收到的所有回覆
  • 產生 AI 分析報告,包含執行摘要、關鍵指標、逐題洞察與行動建議
  • 發布問卷並取得其分享連結
適用情境
適合希望助理依指定研究目標草擬並投放問卷,再把回收的回覆整理成摘要報告、全程不離開對話的情境。
執行需求
透過 npx 或 Docker 映像以 stdio 本機程序執行,需要能連線到託管的 Inquira 端點。可選設定 INQUIRA_API_KEY 讓上游請求帶 bearer 權杖,設定 INQUIRA_MCP_URL 可替換端點;未設定金鑰時請求不帶驗證。
安裝前請注意
問卷內容、研究目標與回覆都會轉送到第三方託管服務。發布後問卷可透過分享連結被公開存取,是否把連結轉發給他人由呼叫方自行決定。可選的 API 金鑰會以 bearer 標頭送往上游端點,而該端點可透過 INQUIRA_MCP_URL 改寫。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Surveyloop,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

surveyloop

surveyloop is a small local bridge to the hosted Inquira MCP server, which runs AI surveys end to end. Describe a research goal and it generates a professional survey for it; from there you can publish the survey, share its link, read the responses that come back, and ask for an AI analysis report with an executive summary, key metrics, per-question insights and action recommendations.

The bridge keeps no survey data of its own. It serves the upstream server's tool list locally, exactly as captured from the live endpoint, and forwards each tool call upstream, returning the result untouched. The captured surface stops at returning a survey's own share link: sending that link to anyone is the caller's own act, and there is no outreach or sending tool in it.

Tools

  • create_survey — generate a survey from a research goal. Required: goal. Optional: lang (one of "en", "zh", "ja", "es", "pt"; defaults to "en") and publish (publish immediately after creation; defaults to false). Returns the survey ID and shareable link.
  • get_surveys — list all surveys belonging to the authenticated user. Optional: status (one of "all", "published", "draft"; defaults to "all").
  • get_responses — get all responses submitted to a specific survey. Required: survey_id.
  • get_ai_report — generate an AI analysis report for a survey's responses. Required: survey_id.
  • publish_survey — publish a survey to make it accessible via its share link. Required: survey_id.
  • get_survey_link — get the shareable link for a published survey. Required: survey_id.

Configuration

  • INQUIRA_MCP_URL (optional) — override the upstream endpoint. Defaults to https://getinquira.com/api/mcp. (The override hook is this rebuild's own labelled reconstruction.)
  • INQUIRA_API_KEY (optional) — when set, every upstream request carries an Authorization: Bearer <key> header, for the caller's own Inquira key. When it is not set, no key header is sent. (The header name is pinned by the original's registry record; the Bearer scheme and this env forwarding are labelled reconstructions — the original surface was captured keyless.)

Forwarding mechanics

On the first tool call the client opens a streamable HTTP session with the upstream: a JSON-RPC initialize request (protocolVersion 2025-03-26, clientInfo name surveyloop), then a notifications/initialized notification, then the tools/call request carrying the caller's arguments unchanged. When the upstream answers initialize with an Mcp-Session-Id header, that value rides on every later request of the session, which is reused for the life of the process. Replies may arrive as plain JSON or as server-sent events; both are read.

Successful upstream results pass through verbatim, including any isError flag the upstream sets. Failures — a JSON-RPC error, a non-2xx status, an unreadable response, or a request that cannot be completed — come back as an isError result whose text starts with surveyloop error: (this rendering is this rebuild's own labelled reconstruction).

CLI

Each tool is also a subcommand taking one JSON argument string:

bash
npx @reneturcios/surveyloop create_survey '{"goal":"Customer satisfaction survey for our SaaS product after onboarding","lang":"en"}'npx @reneturcios/surveyloop get_responses '{"survey_id":"sv_123"}'npx @reneturcios/surveyloop --version

Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.

MCP server

bash
npx -y @reneturcios/surveyloop mcp

MCP client config:

json
{  "mcpServers": {    "surveyloop": {      "command": "npx",      "args": ["-y", "@reneturcios/surveyloop", "mcp"]    }  }}

Docker

bash
docker run -i ghcr.io/cloudcorprecords/surveyloopdocker run --rm ghcr.io/cloudcorprecords/surveyloop --version

The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.

Development

bash
npm installnpm run buildnpm testnpm run dev

The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.

License

MIT — see LICENSE.

來源:README.md,提交 3d7fb3e

工具

6

create_survey

Generate a professional survey using AI based on a research goal. Returns the survey ID and shareable link.

輸入參數goal必填langpublish

get_surveys

List all surveys belonging to the authenticated user.

輸入參數status

get_responses

Get all responses submitted to a specific survey.

輸入參數survey_id必填

get_ai_report

Generate an AI analysis report for a survey's responses. Returns executive summary, key metrics, per-question insights, and action recommendations.

輸入參數survey_id必填

publish_survey

Publish a survey to make it accessible via its share link.

輸入參數survey_id必填

版本歷史

1
  1. v0.1.0最新Nov 4, 2026

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