Automate Survey Creation Via Mcp

@feedbk-ai

About Automate Survey Creation Via Mcp

AI-Moderated Interviews & Surveys via MCP

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "feedbk": {
      "type": "http",
      "url": "https://mcp.feedbk.ai/mcp"
    }
  }
}

Tools

Send a message to the feedbk survey-builder agent. It can create, edit, preview, publish, close, and analyze AI-moderated surveys. Omit session_id on the first call; pass the session_id from the previous response on follow-up calls to continue the conversation (sessions expire after an hour of inactivity).

Overview

What is Automate Survey Creation Via Mcp?

This MCP server lets AI assistants create AI-moderated interviews and surveys with intelligent follow-up probing directly from natural language prompts. It integrates with feedbk.ai for deployment and sharing, and is designed for anyone who needs to quickly design and distribute surveys or user research interviews.

How to use Automate Survey Creation Via Mcp?

Install it as a remote MCP server by adding the URL https://mcp.feedbk.ai/mcp to your AI assistant (Claude, ChatGPT, VS Code, Gemini CLI, or Codex CLI). Then simply ask your assistant to create a survey or interview, and the server guides you through naming, purpose, and questions.

Key features of Automate Survey Creation Via Mcp

Natural language interview design
Automatic question type detection and configuration
Built-in AI probing for deeper insights
Create and share interview links with participants (remote only)
Supports single‑choice, multiple‑choice, open‑ended, and rating questions

Use cases of Automate Survey Creation Via Mcp

Customer satisfaction surveys about a mobile app
User research interviews to understand subscription cancellations
Employee feedback surveys about remote work preferences

FAQ from Automate Survey Creation Via Mcp

What is the difference between local and remote installation?

Local installation only allows creating and exporting interview guides, while remote (mcp.feedbk.ai) also auto‑deploys to feedbk.ai and provides shareable interview links.

Which question types are supported?

The server supports AI probing, single‑choice, multiple‑choice, open‑ended text, and rating (Likert scale) questions.

What are the runtime requirements?

The remote server requires an internet connection; the server itself is built with Python 3.10+. No client‑side dependencies are needed beyond an MCP‑compatible AI assistant.

How do I set up this server in VS Code?

Add a JSON entry to your VS Code MCP settings with "type": "http" and "url": "https://mcp.feedbk.ai/mcp" under the feedbk server name.

Is an API key or authentication required?

The README does not mention any authentication requirements for using the remote MCP endpoint.

Frequently asked questions

What is the difference between local and remote installation?

Local installation only allows creating and exporting interview guides, while remote (`mcp.feedbk.ai`) also auto‑deploys to feedbk.ai and provides shareable interview links.

Which question types are supported?

The server supports AI probing, single‑choice, multiple‑choice, open‑ended text, and rating (Likert scale) questions.

What are the runtime requirements?

The remote server requires an internet connection; the server itself is built with Python 3.10+. No client‑side dependencies are needed beyond an MCP‑compatible AI assistant.

How do I set up this server in VS Code?

Add a JSON entry to your VS Code MCP settings with `"type": "http"` and `"url": "https://mcp.feedbk.ai/mcp"` under the `feedbk` server name.

Is an API key or authentication required?

The README does not mention any authentication requirements for using the remote MCP endpoint.

Comments

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