Automate Twitter content with trend analysis using OpenAI GPT & MCP

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 ...

Best for

Social Media automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.function, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.mcpclienttool, n8n-nodes-base.slack, n8n-nodes-base.wait, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.mysql

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Dayong Huang.

Original n8n.io source

1.1 Workflow description

Title: Automate Twitter content with trend analysis using OpenAI GPT & MCP
Workflow name: 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 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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Format Results1

Type / Role: n8n-nodes-base.function - function
Config choices: Version 1

Block 2 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 3 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 4 - MCP Client

Type / Role: @n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices: Version 1.1

Block 5 - Send a message

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.3

Block 6 - Wait

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 7 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 8 - AI Agent Preprocess

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 9 - OpenAI Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 10 - MCP Client1

Type / Role: @n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices: Version 1.1

Block 11 - Execute a SQL query

Type / Role: n8n-nodes-base.mySql - mySql
Config choices: Version 2.5

Block 12 - Execute a SQL query1

Type / Role: n8n-nodes-base.mySql - mySql
Config choices: Version 2.5

Block 13 - Schedule Trigger

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 14 - Wait1

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 15 - Create Tweet

Type / Role: n8n-nodes-base.twitter - twitter
Config choices: Version 2

Block 16 - keyword_formatter

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

3. Summary Table

Workflow	Automate Twitter content with trend analysis using OpenAI GPT & MCP
Complexity	advanced
Nodes	16
Categories	Social Media, AI RAG
Author	Dayong Huang
Published	04 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8267/8267.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Social Media workflows AI RAG workflows

Frequently asked questions

What does Automate Twitter content with trend analysis using OpenAI GPT & MCP do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Social Media, AI RAG use case.

Dayong Huang

1 workflow

Nodes

n8n-nodes-base.function n8n-nodes-base.splitinbatches @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.mcpclienttool n8n-nodes-base.slack n8n-nodes-base.wait @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.mysql

Complexity

advanced

Published 04 Sept 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/8267/8267.json

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Automate Twitter content with trend analysis using OpenAI GPT & MCP

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Set up steps

Prerequisites:

Configuration:

MCP Server Features Used:

Customization Options:

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Format Results1

Block 2 - Loop Over Items

Block 3 - AI Agent

Block 4 - MCP Client

Block 5 - Send a message

Block 6 - Wait

Block 7 - OpenAI Chat Model

Block 8 - AI Agent Preprocess

Block 9 - OpenAI Chat Model1

Block 10 - MCP Client1

Block 11 - Execute a SQL query

Block 12 - Execute a SQL query1

Block 13 - Schedule Trigger

Block 14 - Wait1

Block 15 - Create Tweet

Block 16 - keyword_formatter

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions