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MCP verified MIT Self-run

Feedbk Mcp Server

mcp-feedbk-ai-feedbk-mcp-server · by feedbk-ai

MCP server for creating AI-moderated interviews and surveys, deployable with shareable links

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Install

$ agentstack add mcp-feedbk-ai-feedbk-mcp-server

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
6mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

AI-Moderated Interviews & Surveys via MCP

[](https://feedbk.ai) [](https://feedbk.ai/en/blog/) [](https://github.com/feedbk-ai/feedbk-skill-mcp/blob/main/LICENSE) [](https://pypi.org/project/feedbk-skill-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

Claude Code

claude mcp add --transport http feedbk https://mcp.feedbk.ai/mcp

VS Code

Add to your VS Code MCP settings:

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

Claude Desktop

Navigate to SettingsConnectorsAdd Custom Connector, then enter:

  • Name: Feedbk
  • URL: https://mcp.feedbk.ai/mcp

OpenAI ChatGPT

> 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
  1. In a new chat, click +MoreDeveloper Mode and enable Feedbk

Google Gemini CLI

gemini mcp add feedbk --url https://mcp.feedbk.ai/mcp

OpenAI Codex CLI

codex mcp add feedbk --url https://mcp.feedbk.ai/mcp

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

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.