📱 Automate Twitter content with trend analysis using OpenAI GPT & MCP
⚡ 712 views · 📱 Social Media & Email Marketing
💡 Pro Tip — Twitter’s API is paid now, which makes simple data pulls expensive. ScraperNode is a community node that scrapes Twitter profiles and posts without needing API access.
Description
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 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 via MCPHub
Configuration:
- Set up MCP integration with twitter154 server endpoint:
https://api.mcphub.com/mcp/aigeon-ai-twitter154 - Configure credentials for OpenAI, Twitter, and MySQL connections
- Set up authentication for the twitter154 MCP server (Header Auth required)
- Create MySQL table for keyword registry (schema provided in workflow)
- Test the workflow with manual execution before enabling automation
- Set schedule for automatic trend discovery (recommended: every 2-4 hours)
MCP Server Features Used:
- Search Tweets: Core functionality for trend analysis
- Get Trends Near Location: Discovers trending topics by geographic region
- AI Tools: Leverages sentiment analysis and topic classification capabilities
Customization Options:
- Modify trend scoring criteria in the AI agent prompts
- Adjust cooldown periods in database queries
- Change target locale from US to other regions (WOEID configuration)
- Customize tweet formatting and content style
- Configure different MCP server endpoints if needed
Perfect for: Social media managers, content creators, and businesses wanting to stay current with trending topics while maintaining consistent, intelligent posting schedules.
Powered by: The twitter154 MCP server (“The Old Bird”) provides robust access to Twitter data including tweets, user information, trends, and AI-powered text analysis tools.
🔗 Nodes Used
Function, Slack, MySQL, X (Formerly Twitter), Schedule Trigger, AI Agent
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File