Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
AI surveys end to end: create and publish surveys, collect responses, generate analysis reports.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"surveyloop": {
"command": "npx",
"args": [
"-y",
"@reneturcios/surveyloop",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add surveyloop -- npx -y @reneturcios/surveyloop mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"surveyloop": {
"command": "npx",
"args": [
"-y",
"@reneturcios/surveyloop",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"surveyloop": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/surveyloop",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Zoo MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
An MCP server that provides access to the Zoo API for various CAD operations and tools.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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.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 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.)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).
Each tool is also a subcommand taking one JSON argument string:
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.
npx -y @reneturcios/surveyloop mcp
MCP client config:
{
"mcpServers": { "surveyloop": { "command": "npx", "args": ["-y", "@reneturcios/surveyloop", "mcp"] } } }
docker run -i ghcr.io/cloudcorprecords/surveyloop
docker 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.
npm install
npm run build npm test npm run dev
The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.
MIT — see LICENSE.