Discover trending topics with Bright Data MCP, GPT analysis & Trello integration
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 10 nodes and runs on a schedule (every day at 09:00). Along the way it connects Trello, OpenAI Chat Model and Mcp (community).
How it runs
Trigger: On a schedule (every day at 09:00).
- 🛠️ Prepare Input (Edit Fields (Set)): sets 1 field: url
- 🤖 Scrape Trending Hashtags (AI Agent): runs an AI agent, with model: 💬 OpenAI Model; 1 tool (🕷️ Bright Data MCP); output parser: Auto-fixing Output Parser
- 🔢 Convert Numbers to Strings (Code): runs custom JavaScript code
- 📋 Create Trello Cards (Trello): uses Trello
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-mcp is verified or supports 3.0 (used in 🕷️ Bright Data MCP).
Nodes used (9)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - Code
n8n-nodes-base.code - Trello
n8n-nodes-base.trello - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Mcp Client Tool
n8n-nodes-mcp.mcpClientTool - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This workflow automatically identifies trending topics and hashtags across social media platforms to keep you informed of current trends and viral content. It saves you time by eliminating the need to manually research trending topics and provides data-driven…