Pulls customer feedback from GitHub Issues, Hacker News threads, and App Store reviews, then runs a multi-stage LLM pipeline to cluster complaints by severity and frequency. You get ranked pain points with impact scores, evidence links, and suggested fixes in machine-readable JSON. Four tools: synthesize_feedback for multi-source analysis, get_pain_points for quick extraction, search_feedback for full-text queries, and get_sentiment_trends for time-series tracking. Runs pay-per-call at $0.01 to $0.05 via x402 micropayments on Base mainnet, so you need an EVM wallet with USDC and no API signup. Useful when you're drowning in scattered user feedback and need prioritized action items instead of manually reading hundreds of issues and reviews.
claude mcp add --transport stdio sapph1re-feedback-synthesis-mcp uvx feedback-synthesis-mcp