Automate Survey Creation Via Mcp
@feedbk-ai
Automate Survey Creation Via Mcp について
AI-Moderated Interviews & Surveys via MCP
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"feedbk": {
"type": "http",
"url": "https://mcp.feedbk.ai/mcp"
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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.
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