# mcp-feedback-collector

> Use this tool when you need to collect interactive user feedback with text and image support to improve AI model performance. It solves problems related to gathering user input and feedback through a modern GUI, enabling AI assistants to learn from user interactions. The tool accepts user input in the form of text and images, and outputs collected feedback for further analysis and model refinement.

Canonical page: https://skillsregistry.net/skills/sanshao85-mcp-feedback-collector  
JSON: https://api.skillsregistry.net/v1/skills/sanshao85-mcp-feedback-collector

## Description

A MCP server that enables AI assistants to collect interactive user feedback with text and image support via a modern GUI.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sbgvw2j29j)
- **Repository:** <https://github.com/sanshao85/mcp-feedback-collector>

## 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": "sanshao85-mcp-feedback-collector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sanshao85-mcp-feedback-collector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sanshao85-mcp-feedback-collector/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