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Feedback Synthesis MCP

Feedback Synthesis MCP

Remote
github.com/sapph1reBusiness & Marketing0Updated 10w ago
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About Feedback Synthesis MCP

Feedback Synthesis MCP is a customer-feedback analysis server for developers and AI agents. It groups GitHub Issues, Hacker News posts, and App Store reviews into ranked pain clusters with evidence and suggested actions.

Key features

  1. 01Synthesize feedback across sources
  2. 02Extract pain points from one source
  3. 03Search cached feedback text
  4. 04Track sentiment over time
  5. 05Rank pain clusters with evidence

Use cases

  1. 01Prioritize recurring issues across products
  2. 02Review feedback for a GitHub project
  3. 03Search feedback about a topic
  4. 04Monitor app review sentiment

MCP support

The MCP server exposes four customer-feedback tools for synthesis, pain-point extraction, search, and sentiment trends. It supports local installation or a hosted Streamable HTTP endpoint, with x402 payments per call.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://feedback-synthesis-mcp-production.up.railway.app/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Packages
pypifeedback-synthesis-mcp0.1.1

Tools

4
ParameterTypeRequiredDescription
focusstringNoOptional focus area to prioritize (e.g. "performance", "onboarding").
sincestringNoOnly include feedback after this date (ISO 8601, e.g. "2025-01-01").
sourcesarrayYesList of source configs. Each must have "type" (github_issues, hackernews, appstore) and "target" (e.g. "owner/repo", "product name", app ID).
max_items_per_sourceintegerNoMax feedback items per source (default 100).

Details

From the project README

Feedback Synthesis MCP

MCP.Directory

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:

{
  "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.


Tools

ToolWhat it doesPrice
synthesize_feedbackMulti-source synthesis → ranked pain clusters with evidence$0.05/call
get_pain_pointsQuick single-source pain point extraction$0.02/call
search_feedbackFull-text search across cached feedback items$0.01/call
get_sentiment_trendsTime-series sentiment across sources$0.03/call

Supported sources: GitHub Issues, Hacker News, Apple App Store Reviews


Examples

Synthesize feedback from multiple sources
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"
      ]
    }
  ]
}
Quick pain points from GitHub Issues
get_pain_points(
  source={"type": "github_issues", "target": "owner/my-repo", "labels": ["bug"]},
  top_n=5
)
Search for specific topics
search_feedback(query="pricing too expensive", sources=["github_issues", "hackernews"])
Track sentiment over time
get_sentiment_trends(
  sources=[{"type": "appstore", "target": "com.example.myapp"}],
  since="2025-10-01T00:00:00Z",
  granularity="weekly"
)

Payment

This MCP uses x402 micropayments on Base mainnet (USDC). You need:

  1. An EVM wallet with USDC on Base mainnet
  2. The wallet's private key set as EVM_PRIVATE_KEY

Each 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.


Architecture

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 verification

Server code is private (moat). Thin client is open source.

Direct MCP over HTTP (Streamable HTTP Transport)

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.



License

MIT

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