Feedback Synthesis Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Feedback Synthesis Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Customer feedback intelligence for AI agents and developers. Synthesize GitHub Issues, Hacker News threads, and App Store reviews into ranked pain clusters with evidence links. Pay-per-call via x402 micropayments — no signup required.
<!-- mcp-name: io.github.sapph1re/feedback-synthesis-mcp -->
Stop reading through hundreds of feedback items manually. Feedback Synthesis MCP collects from multiple sources, runs a multi-pass LLM pipeline, and returns ranked pain clusters with impact scores, evidence links, and suggested actions — machine-readable for agents, human-readable for founders.
Install:
pip install feedback-synthesis-mcpSet your wallet key (any EVM wallet with USDC on Base mainnet):
export EVM_PRIVATE_KEY=your_private_key_hereAdd to Claude Desktop — edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"feedback-synthesis-mcp": {
"command": "feedback-synthesis-mcp",
"env": {
"EVM_PRIVATE_KEY": "your_private_key_here"
}
}
}
}Add to Cursor — edit .cursor/mcp.json in your project root:
{
"mcpServers": {
"feedback-synthesis-mcp": {
"command": "feedback-synthesis-mcp",
"env": {
"EVM_PRIVATE_KEY": "your_private_key_here"
}
}
}
}Restart your client. You now have four customer intelligence tools available.
| Tool | What it does | Price |
|---|---|---|
synthesize_feedback | Multi-source synthesis → ranked pain clusters with evidence | $0.05/call |
get_pain_points | Quick single-source pain point extraction | $0.02/call |
search_feedback | Full-text search across cached feedback items | $0.01/call |
get_sentiment_trends | Time-series sentiment across sources | $0.03/call |
Supported sources: GitHub Issues, Hacker News, Apple App Store Reviews
synthesize_feedback(
sources=[
{"type": "github_issues", "target": "owner/my-repo", "labels": ["bug", "feature-request"]},
{"type": "hackernews", "target": "Show HN: MyProduct"}
],
since="2026-01-01T00:00:00Z"
)Returns:
{
"job_id": "syn_abc123",
"status": "completed",
"summary": "Analyzed 347 feedback items from 2 sources. Found 6 pain clusters.",
"pain_clusters": [
{
"rank": 1,
"title": "Authentication flow breaks on mobile Safari",
"severity": "critical",
"frequency": 23,
"impact_score": 0.92,
"description": "Users report inability to complete OAuth login on iOS Safari. Affects onboarding conversion.",
"evidence": [
{
"source": "github",
"url": "https://github.com/owner/my-repo/issues/142",
"snippet": "Login fails silently on Safari 17.2+"
}
],
"suggested_actions": [
"Fix Safari WebAuthn polyfill (see issue #142)",
"Add fallback auth flow for mobile browsers"
]
}
]
}get_pain_points(
source={"type": "github_issues", "target": "owner/my-repo", "labels": ["bug"]},
top_n=5
)search_feedback(query="pricing too expensive", sources=["github_issues", "hackernews"])get_sentiment_trends(
sources=[{"type": "appstore", "target": "com.example.myapp"}],
since="2025-10-01T00:00:00Z",
granularity="weekly"
)This MCP uses x402 micropayments on Base mainnet (USDC). You need:
EVM_PRIVATE_KEYEach call costs $0.01–$0.05 USDC. Payments are made automatically — no subscriptions, no API keys.
No payment configured? The server returns a helpful error with setup instructions.
This package is a thin MCP client. All processing happens on the hosted backend:
Your Agent / Claude Desktop
│
▼
feedback-synthesis-mcp (this package)
- MCP tool definitions
- x402 payment signing
- Zero business logic
│ HTTPS + x402
▼
Hosted Backend (Railway)
- Multi-source data collection
- 3-stage LLM pipeline (Haiku × N + Sonnet × 1)
- SQLite caching + FTS search
- x402 payment verificationServer code is private (moat). Thin client is open source.
Skip the PyPI package for programmatic/agent access using the hosted MCP endpoint directly:
MCP Server URL: https://feedback-synthesis-mcp-production.up.railway.app/mcp/
For MCP clients that support Streamable HTTP transport (Claude Desktop via HTTP, custom agents):
{
"mcpServers": {
"feedback-synthesis-mcp": {
"type": "streamable-http",
"url": "https://feedback-synthesis-mcp-production.up.railway.app/mcp/"
}
}
}x402 payment is handled automatically by the client SDK. Set EVM_PRIVATE_KEY in your environment.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.