# mcp-feedback-pipe

> Use this tool when you need to collect and organize feedback in MCP environments, leveraging features like Markdown, Mermaid charts, and image uploads to streamline communication and collaboration. It solves problems of inefficient feedback collection and enhances transparency through its web-based interface, accepting text, image, and chart inputs and producing organized, actionable feedback outputs. Ideal for use cases requiring structured feedback and collaborative discussion in MCP settings.

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

## Description

Web-based feedback collection tool for MCP environments with Markdown, Mermaid charts, and image upload support.

## Trust

- **Trust score (0–1):** 0.35
- **Verification tier:** scanned
- **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/tbvu6m9i1f)
- **Repository:** <https://github.com/ElemTran/mcp-feedback-pipe>

## 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": "elemtran-mcp-feedback-pipe"
    }
  }
}
```

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

---
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