Feedbk provides interview and survey design skills over MCP, with a hosted route for deploying guides and sharing participant links.
Feedbk provides interview and survey design skills over MCP, with a hosted route for deploying guides and sharing participant links.
Feedbk helps an assistant turn a research objective into an interview or survey. Its documented question formats include single choice, multiple choice, open text and rating scales, with follow-up probing for interview responses. Define what you need to learn before asking the assistant to produce questions; a cancellation interview needs a different structure from a satisfaction survey.
The hosted MCP endpoint supports deployment to feedbk.ai and shareable participant links. The Python source server exposes a skills directory through FastMCP over Streamable HTTP. Local guide creation and export do not include the hosted deployment features. The source is a skills provider, so do not assume that every advertised workflow is a separate fixed tool name.
Create a short test guide, inspect its wording and response options, then check the shared experience before distributing it. Look for leading questions, missing answer choices and unnecessary personal-data requests. Access to a hosted feature follows the service account and deployment, not just a successful protocol connection.
{
"mcpServers": {
"feedbk": {
"url": "https://mcp.feedbk.ai/mcp"
}
}
}An HTTP MCP client; Python 3.10 or later and compatible FastMCP dependencies for source deployment.
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