Automate Twitter content with trend analysis using OpenAI GPT & MCP

How it works

This template creates a fully automated Twitter content system that discovers trending topics, analyzes why they're trending using AI, and posts intelligent commentary about them.

The workflow uses MCP (Model Context Protocol) with the twitter154 MCP server from [MCPHub](https://mcphub.com/mcp-servers/aigeon-ai/twitter154) to connect with Twitter APIs and leverages OpenAI GPT models to generate brand-safe, engaging content about current trends.

Key Features: - 🔍 Smart Trend Discovery: Automatically finds US trending topics with engagement scoring - 🤖 AI-Powered Analysis: Uses GPT to explain "why it's trending" in 30-60 words - 📊 Duplicate Prevention: MySQL database tracks posted trends with 3-day cooldowns - 🛡️ Brand Safety: Filters out NSFW content and low-quality hashtags - ⚡ Rate Limiting: Built-in delays to respect API limits - 🐦 Powered by twitter154: Uses the robust "Old Bird" MCP server for comprehensive Twitter data access

Set up steps

Setup time: ~10 minutes

Prerequisites: - OpenAI API key for GPT models - Twitter API access for posting - MySQL database for trend tracking - MCP server access: twitter154 from [aigeon-ai](https://mcphub.com/mcp-servers/aigeon-ai/twitter154) via MCPHub

Configuration: 1. Set up MCP integration with twitter154 server endpoint: https://api.mcphub.com/mcp/aigeon-ai-twitter154 2. Configure credentials for OpenAI, Twitter, and MySQL connections 3. Set up authentication for the twitter154 MCP server (Header Auth required) 4. Create MySQL table for keyword registry (schema provided in workflow) 5. Test the workflow with manual execution before enabling automation 6. Set schedule for automatic trend discovery (recommended: every 2-4 hours)