# MCP Feedback Collector

> Use this tool when you need to collect interactive user feedback for AI model training and improvement. The MCP Feedback Collector solves problems related to data quality and model accuracy by enabling text and image-based user responses. It accepts user input in the form of text and images, and outputs collected feedback for model refinement, ideal for use cases where human-in-the-loop feedback is crucial.

Canonical page: https://skillsregistry.net/skills/keizman-mcp-feedforward  
JSON: https://api.skillsregistry.net/v1/skills/keizman-mcp-feedforward

## Description

A modern Model Context Protocol (MCP) server that enables AI assistants to collect interactive user feedback, supporting text and image-based responses.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/plpoxvctsc)
- **Repository:** <https://github.com/keizman/mcp-feedforward>

## 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": "keizman-mcp-feedforward"
    }
  }
}
```

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