# Feedback Synthesis

> Use this tool when you need to analyze and prioritize customer feedback from multiple sources, such as GitHub Issues, Hacker News, and Apple App Store reviews. It solves the problem of manually sorting through large volumes of feedback by producing ranked pain clusters, sentiment trends, and extracted pain points. The tool takes in raw feedback data and outputs actionable insights, making it ideal for product development and customer support teams looking to inform their decision-making with data-driven feedback analysis.

Canonical page: https://skillsregistry.net/skills/sapph1re-feedback-synthesis  
JSON: https://api.skillsregistry.net/v1/skills/sapph1re-feedback-synthesis

## Description

Feedback Synthesis aggregates customer feedback from GitHub Issues, Hacker News, and Apple App Store reviews, processing it through a multi-stage LLM pipeline to produce ranked pain clusters, sentiment trends, and extracted pain points. The MCP server acts as a thin client that handles tool definitions and x402 micropayment signing on Base mainnet (USDC), delegating heavy processing to a hosted backend with SQLite caching and full-text search.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sapph1re-feedback-synthesis)
- **Repository:** <https://github.com/sapph1re/feedback-synthesis-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": "sapph1re-feedback-synthesis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sapph1re-feedback-synthesis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sapph1re-feedback-synthesis/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