# User Feedback

> Use this tool when you need to collect and analyze user opinions on AI-generated responses to improve their accuracy and quality. It solves the problem of evaluating AI performance and identifying areas for improvement by gathering user feedback data. This tool takes user input in the form of ratings or comments and outputs stored data for later analysis, ideal for use in AI model training and refinement contexts.

Canonical page: https://skillsregistry.net/skills/mrexodia-user-feedback  
JSON: https://api.skillsregistry.net/v1/skills/mrexodia-user-feedback

## Description

A simple MCP server implementation that allows users to provide feedback on AI responses. This server collects user feedback data and stores it for later analysis.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mrexodia-user-feedback)
- **Repository:** <https://github.com/mrexodia/user-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": "mrexodia-user-feedback"
    }
  }
}
```

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