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.
@feedbk-ai
基本信息
AI-Moderated Interviews & Surveys via MCP
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"feedbk": {
"type": "http",
"url": "https://mcp.feedbk.ai/mcp"
}
}
}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).
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.
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.
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.
The server supports AI probing, single‑choice, multiple‑choice, open‑ended text, and rating (Likert scale) questions.
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.
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.
The README does not mention any authentication requirements for using the remote MCP endpoint.
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