Feedback Synthesis MCP
Synthesize GitHub Issues, HN and App Store reviews into ranked pain clusters.
Connector by sapph1re · GitHub account verified by the MCP Registry
Install
Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/sapph1re-feedback-synthesis-mcp
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Remote endpoint
https://feedback-synthesis-mcp-production.up.railway.app/mcpRemote (HTTP)
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About
Reviews
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Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 3 read · 0 write · 0 delete · 1 not yet classified
- Secrets
- 1 (API keys, tokens or passwords)
- Install scripts
- Not scanned yet
- Runs as
- Python package
Tools by what they do 4
Read from the source code; the running server may list different tools.
Read 3 · Look things up without changing anything.
get_pain_pointsget_sentiment_trendssearch_feedback
Not yet classified 1 · We could not tell from the name and description.
synthesize_feedback
Secrets and settings it asks for
Secrets: values you paste in that let it act as you.
EVM_PRIVATE_KEY
Network hosts it talks to 1
feedback-synthesis-mcp-production.up.railway.app· found in remote endpoint, install command
Files it touches
- Any path the agent passes to its tools
Tools (4)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
get_pain_pointsQuickly extract top pain points from a single feedback source. Faster and cheaper than synthesize_feedback — single LLM pass, one source. Returns the top N pain points with frequency counts and sample evidence URLs. Args: source: Source spec with 'type' (github_issues/hackernews/appstore) and 'target'. Example: {"type": "github_issues", "target": "owner/repo", "labels": ["bug"]} max_items: Max items to collect (default 100) top_n: Number of top pain points to return (default 5)
get_sentiment_trendsGet time-series sentiment analysis across feedback sources. Shows how sentiment shifts over time — useful for tracking the impact of releases, bug fixes, or feature launches. Returns weekly/monthly sentiment scores with notable shifts and likely causes. Args: sources: List of source specs (same format as synthesize_feedback) since: Start date for trend analysis (ISO 8601, default 6 months ago) granularity: Time bucket size — 'weekly' (default) or 'monthly'
search_feedbackSearch raw feedback items across cached sources using full-text search. Useful for drilling into a specific topic after synthesis. Searches previously collected feedback without triggering new LLM processing. Fast and cheap. Args: query: Search terms (e.g. 'authentication mobile' or 'pricing too expensive') sources: Filter by source types (e.g. ['github_issues', 'appstore']) target: Filter by target repo/app (e.g. 'owner/repo') since: ISO 8601 datetime filter (e.g. '2026-01-01T00:00:00Z') limit: Max results to return (default 20)
synthesize_feedbackSynthesize customer feedback from multiple sources into ranked pain clusters. Collects feedback from GitHub Issues, Hacker News, and/or App Store Reviews, then runs a multi-pass LLM pipeline to extract and rank pain clusters with evidence. Returns up to 10 ranked pain clusters with impact scores, evidence links, and suggested actions. Takes 10-60 seconds depending on volume. Args: sources: List of source specs. Each has 'type' (github_issues/hackernews/appstore) and 'target' (owner/repo, search query, or app bundle ID). Example: [{"type": "github_issues", "targe…
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 1
- Weekly downloads
- 27
- Last commit
- Aug 19, 2026 (2 months ago)
- Last release
- Aug 19, 2026 (2 months ago)
- Last package publish
- Apr 10, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.sapph1re/feedback-synthesis-mcp- Version
- 0.1.2
- Auth
- Auth not stated, API key
- Packages
- pypi feedback-synthesis-mcp
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
More from sapph1re
Cite this page
Feedback Synthesis MCP. Agent Mart. https://agentmart.dev/connectors/sapph1re-feedback-synthesis-mcp (last updated 2026-10-24)