MCP server/ai-tools

Feedbk AI MCP Server

Create smarter surveys with AI-moderated interviews and intelligent probing

★ 2feedbk-ai/feedbk-mcp-server ↗by feedbk-aiupdated
Manual setup required. We don't have a verified install command for this server. Follow the maintainer README and use the raw config below as a starting point.
1

Prepare the server locally

Run this once before adding it to Claude Code.

git clone https://github.com/feedbk-ai/feedbk-mcp-server
cd feedbk-mcp-server

Then follow the repository README for any remaining dependency or build steps.

2

Add it to Claude Code

Paste the maintainer's config below, then edit any placeholder values.

~/.claude.json
{
  "mcp": {
    "servers": {
      "feedbk": {
        "type": "http",
        "url": "https://mcp.feedbk.ai/mcp"
      }
    }
  }
}

See the feedbk-mcp-server README for full setup instructions.

3

Make your agent remember this setup

feedbk-ai's config, env vars, and the gotchas you hit — recalled in every future Claude Code, Cursor, and Codex session.

npx conare@latest

Free · one command · indexes the sessions already on disk. Set up in the browser instead →

What it does

  • Natural language interview design
  • Automatic question type detection and configuration
  • Built-in AI probing for deeper insights
  • Instant creation of shareable interview links
  • Support for single-choice, multiple-choice, open-ended, and Likert scale questions

Tools 1

create_interviewInitiates the creation of an AI-moderated interview or survey guide.

Try it

Create a customer satisfaction survey about our mobile app
Build a user research interview to understand why users cancel their subscriptions
Design an employee feedback survey about remote work preferences
Original README from feedbk-ai/feedbk-mcp-server

AI-Moderated Interviews & Surveys via MCP

Create smarter surveys with AI-moderated interviews and intelligent follow-up probing — directly from your AI assistant.


Why Feedbk MCP?

Feedbk MCP brings AI interview/survey creation directly into your workflow:

  • ✅ Natural language interview design — just describe what you need
  • ✅ Automatic question type detection and configuration
  • ✅ Built-in AI probing for deeper insights
  • ✅ Create and share interview links with participants instantly

Local vs Remote: Choose Your Workflow

Feature Local Install Remote (mcp.feedbk.ai)
Create interview guides
Export guides
Auto-deploy to feedbk.ai
Get shareable interview links

Installation

<details open> <summary><b>Claude Code</b></summary>
claude mcp add --transport http feedbk https://mcp.feedbk.ai/mcp
</details> <details> <summary><b>VS Code</b></summary>

Add to your VS Code MCP settings:

"mcp": {
  "servers": {
    "feedbk": {
      "type": "http",
      "url": "https://mcp.feedbk.ai/mcp"
    }
  }
}
</details> <details> <summary><b>Claude Desktop</b></summary>

Navigate to SettingsConnectorsAdd Custom Connector, then enter:

  • Name: Feedbk
  • URL: https://mcp.feedbk.ai/mcp
</details> <details> <summary><b>OpenAI ChatGPT</b></summary>

Requires ChatGPT Pro, Team, Enterprise, or Edu subscription

  1. Go to SettingsConnectors
  2. Enable Developer Mode under Advanced settings
  3. Click Create and enter:
    • Name: Feedbk
    • Server URL: https://mcp.feedbk.ai/mcp
  4. In a new chat, click +MoreDeveloper Mode and enable Feedbk
</details> <details> <summary><b>Google Gemini CLI</b></summary>
gemini mcp add feedbk --url https://mcp.feedbk.ai/mcp
</details> <details> <summary><b>OpenAI Codex CLI</b></summary>
codex mcp add feedbk --url https://mcp.feedbk.ai/mcp
</details>

Usage

Just ask your AI assistant to create an interview:

Create a customer satisfaction survey about our mobile app
Build a user research interview to understand why users cancel their subscriptions
Design an employee feedback survey about remote work preferences

The skill will guide you through:

  1. Interview Name — What are you calling this survey?
  2. Purpose — Why are you conducting this? (one sentence)
  3. Questions — What do you want to ask?

Question Types

AI Probing

Feedbk's AI interviewer automatically asks intelligent follow-up questions based on responses — no manual configuration needed.

Single-Choice

"What is your preferred method of communication?"
Options: Email / Phone / Text / Video Call

Multiple-Choice

"Which features do you use? (Select all)"
Options: Dashboard / Reports / Analytics / Integrations

Open-Ended Text

"What's your biggest challenge with our product?"
Response: Free text

Rating (Likert Scale)

"How satisfied are you with our service?"
Scale: 1 (Very Dissatisfied) → 5 (Very Satisfied)

Connect with Us


License

MIT

Frequently Asked Questions

What are the key features of Feedbk AI?

Natural language interview design. Automatic question type detection and configuration. Built-in AI probing for deeper insights. Instant creation of shareable interview links. Support for single-choice, multiple-choice, open-ended, and Likert scale questions.

What can I use Feedbk AI for?

Conducting remote user research to identify product pain points. Gathering employee feedback on internal company policies. Creating customer satisfaction surveys for mobile applications. Designing structured interview guides for subscription cancellation analysis.

How do I install Feedbk AI?

Install Feedbk AI by running: claude mcp add --transport http feedbk https://mcp.feedbk.ai/mcp

What MCP clients work with Feedbk AI?

Feedbk AI works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Conare · memory for coding agents

Turn this server into reusable context

Keep Feedbk AI docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Set up free$npx conare@latest