# feedback-mcp-server

> Use this tool when you need to collect interactive user feedback for AI model training and improvement. It solves the problem of gathering high-quality feedback by providing a user-friendly browser window interface with Markdown rendering and syntax highlighting. The server accepts user input and feedback, and outputs formatted data for AI model refinement, making it ideal for use cases requiring human-in-the-loop feedback collection.

Canonical page: https://skillsregistry.net/skills/nianlog-feedback-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nianlog-feedback-mcp

## Description

A lightweight MCP server that enables AI assistants to collect interactive user feedback via a browser window with full Markdown rendering and syntax highlighting.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g2ky5uiltc)
- **Repository:** <https://github.com/NianLog/feedback-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nianlog-feedback-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nianlog-feedback-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nianlog-feedback-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt