Feedback Synthesis MCP

Name: Feedback Synthesis MCP
Author: sapph1re

by sapph1recommunityv0.1.1

Feedback Synthesis MCP synthesizes customer feedback from multiple sources into ranked pain clusters with evidence links for AI agents and developers.

From the registry: Synthesize GitHub Issues, HN and App Store reviews into ranked pain clusters. Pay-per-call x402.

GitHub Repository

Install & configure

Prerequisites

required
Install feedback-synthesis-mcp
Install from PyPI
```
$ pip install feedback-synthesis-mcp
```
https://pypi.org/project/feedback-synthesis-mcp/
required
EVM wallet with USDC on Base
Needed for x402 pay-per-call micropayments

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `feedback-synthesis-mcp` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install feedback-synthesis-mcp** — Install from PyPI Run: `pip install feedback-synthesis-mcp` (https://pypi.org/project/feedback-synthesis-mcp/)
- **EVM wallet with USDC on Base** — Needed for x402 pay-per-call micropayments

Canonical MCP server config (stdio transport):
- command: `feedback-synthesis-mcp`
- args: []
- required environment variables:
  - `EVM_PRIVATE_KEY`: Private key for an EVM wallet with USDC on Base mainnet (example: `<your-evm-private-key>`)

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.