Feedback Synthesis MCP Server

by sapph1re Your server? Claim it

not responding

Feedback Synthesis MCP is listed as active in the registry but did not answer our last check. 119 installs a week from pypi. It exposes 4 tools. Last commit 19 Aug 2026.

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

Installs per day peak 26 · avg 14 · +65% w/w

a month agotoday

Uptime history 82 days of history · worst day 0%

82 days agonow

0.0%

Uptime 24h

0 of 91 checks

Tools

read from the server

268 ms

Response time

average over 24h

119

Installs / week

npm and PyPI

Feedback Synthesis MCP does not always answer

Over the last week it answered 0.0% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add feedback-synthesis-mcp --transport http https://feedback-synthesis-mcp-production.up.railway.app/mcp

Settings → Connectors → Add custom connector, then paste this address

https://feedback-synthesis-mcp-production.up.railway.app/mcp

~/.codex/config.toml

[mcp_servers.feedback-synthesis-mcp]
url = "https://feedback-synthesis-mcp-production.up.railway.app/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "feedback-synthesis-mcp": {
      "url": "https://feedback-synthesis-mcp-production.up.railway.app/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "feedback-synthesis-mcp": {
      "type": "http",
      "url": "https://feedback-synthesis-mcp-production.up.railway.app/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

feedback

search_feedback

Full-text search across cached feedback items.

pain

get_pain_points

Quick single-source pain point extraction.

sentiment

get_sentiment_trends

Time-series sentiment analysis across feedback sources.

synthesize

synthesize_feedback

Multi-source feedback synthesis into ranked pain clusters.

Endpoints

URL	Transport	State	Latency	Checked
https://feedback-synthesis-mcp-production.up.railway.app/mcp	streamable-http	answering	268 ms	14 min ago

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Feedback Synthesis MCP — questions

Answers built from our own checks of this server.

What can Feedback Synthesis MCP do?

It exposes 4 tools, read directly from the server on our last check. Among them: get_pain_points, get_sentiment_trends, search_feedback, synthesize_feedback. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Feedback Synthesis MCP working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 91 checks got a reply (0.0%), average response time 268 ms. The bar chart above shows every period we have measured.

The registry lists Feedback Synthesis MCP as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect Feedback Synthesis MCP?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Feedback Synthesis MCP need an API key?

No. Feedback Synthesis MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.

How many people use Feedback Synthesis MCP?

The pypi package feedback-synthesis-mcp was installed 119 times in the last week. Week over week that is +65%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Feedback Synthesis MCP open source?

The code is open source: it is published under the MIT licence, written in Python, 0 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at feedback-synthesis-mcp-production.up.railway.app, which runs on its operator's own terms.