
Feedback Synthesis MCP
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.
- tools
- 4
- auth
- Secret needed
- transport
- STDIO, HTTP
- env var
- 1
- last updated
- Aug 19, 2026
Tools
4 toolsPublic tool metadata for what this MCP can expose to an agent.
synthesize_feedbackMulti-source synthesis → ranked pain clusters with evidence
Multi-source synthesis → ranked pain clusters with evidence
No parameter schema in public metadata yet.
get_pain_pointsQuick single-source pain point extraction
Quick single-source pain point extraction
No parameter schema in public metadata yet.
search_feedbackFull-text search across cached feedback items
Full-text search across cached feedback items
No parameter schema in public metadata yet.
get_sentiment_trendsTime-series sentiment across sources
Time-series sentiment across sources
No parameter schema in public metadata yet.
Sponsors
Configuration
EVM_PRIVATE_KEYsecretEVM wallet private key for x402 micropayment signing (any wallet with USDC on Base mainnet)
Readme
Feedback Synthesis MCP
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.
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.
Quick Start
Install:
pip install feedback-synthesis-mcp
Set your wallet key (any EVM wallet with USDC on Base mainnet):
export EVM_PRIVATE_KEY=your_private_key_here
Add to Claude Desktop — edit ~/Library/Application Support/Claude/claude_desktop_config.json:
Details
- Repository
- github.com/sapph1re/feedback-synthesis-mcp
- Category
- Developer Tools
- Package
feedback-synthesis-mcp- Transport
- STDIO, HTTP
- Auth
- Required
- Registry
- MCP registry, active