# Feedback MCP

> Feedback MCP — parra-inc-feedback-mcp. Use this tool when you need to collect and analyze user feedback from multiple applications in one place, solving issues of fragmented feedback and tedious analysis. It provides a single API endpoint for feedback collection, with outputs including listed, searchable, and statistical feedback data. Ideal for use cases where unified feedback management is crucial, such as product development, customer support, and user experience optimization.

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

## Description

Collect and analyze user feedback from any app via a single API endpoint, with MCP tools for listing, searching, and stats.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mq4vmlg614)
- **Repository:** <https://github.com/Parra-Inc/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": "parra-inc-feedback-mcp"
    }
  }
}
```

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