Live Event Sentiment Alerts: Fanbase MCP, Gemini & Slack (n8n)

Get real-time sentiment alerts from your fanbase—without watching the timeline

Live Event Sentiment Alerts: Fanbase MCP, Gemini & Slack (n8n) monitors a time-boxed live event by pulling fresh activity from Fanbase MCP every 15 minutes, analyzing sentiment and topics with Google Gemini, and posting rolling reports and urgent alerts directly to Slack.

What this workflow does

• Receives event settings via an n8n form (event name, UTC start/end, and comma-separated keywords) and saves them as an active record in an n8n Data Table.
• Runs on a 15-minute schedule, loading all active events and determining whether to collect an interval update or finalize the event after the end time has passed.
• Fetches and filters live activity from Fanbase MCP (query_activity), extracts only the activity within the current interval window, and deduplicates results using record IDs stored in another n8n Data Table.
• Ranks what matters using keyword relevance plus intent/complaint heuristics, then builds interval metrics (including volume, breakdowns, notable fans, and actionable messages with reply links).
• Analyzes sentiment with Google Gemini using a message sample to produce structured sentiment, topics, issues, and recommended actions.
• Saves interval outputs (including message shortlist) back to an n8n Data Table and posts a rolling interval report to Slack.
• Sends urgent alerts to Slack when an interval is flagged as urgent, followed by a final post-event summary.

Use cases

• Track audience sentiment during a live launch, concert, or broadcast window and respond quickly to complaints.
• Monitor brand/community keywords and generate weekly-or-event-based Slack digests from live activity.
• Run an n8n automation that keeps SaaS operators informed with structured AI insights—not raw feeds.

Technical details

• Integrations/controls: Fanbase MCP, Google Gemini, Slack
• n8n workflow components: if, code, slack, split out, data table, sticky note
• Core behavior: interval-based polling every 15 minutes, deduplication via Data Tables, and sentiment/topic extraction via Gemini