Monitor live event sentiment and send alerts with Fanbase MCP, Gemini, and Slack

by sebastian · 3 views · created 2026-08-05 · Market Research, AI Summarization

What this workflow does

This AI workflow has 26 nodes and runs when someone submits an n8n form (“Configure Event Monitor”) (plus 1 other trigger). Along the way it connects Google Gemini, Slack and MCP Client.

How it runs

Trigger: When someone submits an n8n form (“Configure Event Monitor”) (plus 1 other trigger).

1. Validate Config (Code): runs custom JavaScript code
2. Get Active Event(events_config) (Data table): get
3. Save Event Config(events_config) (Data table): uses Data table
4. Window Gate (Code): runs custom JavaScript code
5. Loop Over Events (Loop Over Items (Split in Batches)): loops over the items in batches
6. In Monitoring Window? (If): checks a condition and branches into true / false
7. Get Seen Records(events_seen) (Data table): get
8. Load All Intervals(events_intervals ) (Data table): get
9. Collapse To One Item (Code): runs custom JavaScript code
10. Build Post-Event Report (Code): runs custom JavaScript code

…plus 14 more steps. See the full node list below.

Services it uses

Google GeminiSlackMCP Client

Before you upgrade to n8n 3.0

Nodes used (10)

• n8n Form Triggern8n-nodes-base.formTrigger
• Coden8n-nodes-base.code
• Schedule Triggern8n-nodes-base.scheduleTrigger
• Ifn8n-nodes-base.if
• Google Gemini@n8n/n8n-nodes-langchain.googleGemini
• Slackn8n-nodes-base.slack
• Split Outn8n-nodes-base.splitOut
• Loop Over Items (Split in Batches)n8n-nodes-base.splitInBatches
• Data tablen8n-nodes-base.dataTable
• MCP Client@n8n/n8n-nodes-langchain.mcpClient

From the author

Quick overview This workflow monitors a time-boxed event by pulling live activity across your social media from Fanbase MCP every 15 minutes, analyzing each interval with Google Gemini, storing results in n8n Data Tables, and posting rolling reports plus…

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