AI Agent drives automated website operations: Build a fully automatic content pipeline in 30 minutes

Tutorial Objectives

Within 30 minutes, build a complete AI Agent content automation pipeline: RSS/webpage collection → AI rewriting → multi-platform publishing, all completed automatically. This article is a complete step-by-step tutorial.

What will you build?

• Automated content collector: regularly capture RSS sources and target web pages to extract structured information
• AI content rewriting engine: Use OpenAI/Claude to rewrite collected content into original articles
• Automatic publishing robot: Publish directly to WordPress, WeChat public accounts and other platforms through API or MCP protocol
• Monitoring Board: View running status and output statistics in real time

Preparation list

• OpenAI API Key (or Claude API, free limit starting at $5)
• n8n (self-hosted free version or cloud trial account)
• API permissions of the target website (WordPress REST API, WeChat public account development permissions, etc.) -Basic command line operation knowledge (or n8n graphical interface available from scratch)

Overall architecture

The entire assembly line is disassembled into 4 modules, which can be built in sequence and connected in series to form a complete link.

Step 1: Build a content collector

First create a new Workflow in n8n and add the RSS Feed Read node.

Configure RSS feed

Choose high-quality RSS feeds in your niche. For the field of AI tools, the following sources are recommended:

{
  "rss_url": "https://hnrss.org/frontpage",
  "limit": 10,
  "cache_timeout_minutes": 30
}

**** 2-3 ， Merge 。

RSS IF ，（ "AI"、"agent"、"automation"、"LLM"），。

2 AI

， AI 。 OpenAI ，

{
  "model": "gpt-4o-mini",
 "system_prompt": "。。1) 2) 3) Markdown 4) 500-800 ",
  "temperature": 0.7,
  "max_tokens": 2000
}

OpenAI ，OpenAI API gpt-4o-mini ， 100 token $0.15， 1 。

OpenAI Code ， JavaScript

//
const article = $input.first().json;
const body = article.body_markdown || '';
const issues = [];

if (body.length < 300) issues.push('');
if (body.includes('')) issues.push('');
if ((body.match(/[。！？]/g) || []).length < 5) issues.push('');

return {
  passed: issues.length === 0,
  issues: issues,
  article: article
};

SEO+GEO（、）， AI 。

3

，。 WordPress

WordPress REST API

HTTP Request ， POST WordPress

{
  "method": "POST",
 "url": "https://.com/wp-json/wp/v2/posts",
  "authentication": "basicAuth",
  "body": {
    "title": "{{ $json.title }}",
    "content": "{{ $json.body_markdown }}",
    "status": "draft",
    "categories": [5],
    "tags": ["AI", "automation"]
  }
}

（）

， WeChat MCP 。WeChat MCP SSE（Server-Sent Events）+ JSON-RPC

1. Markdown → file_id
2. SSE sessionId
3. initialize
4. tools/call → publish_article

。

4

3 n8n Webhook 。 Schedule ，

Schedule (4h) → RSS Feed Read → IF → OpenAI
 → Code → HTTP Request → (Telegram/Email)

（FAQ）

Q1n8n ？

1 CPU、2GB VPS（ DigitalOcean $6/）。Docker docker run -it --rm --name n8n -p 5678:5678 n8nio/n8n。

Q2AI Google ？

40% （、、），。Google 2025 """"。

Q3API ？

• 10 ， gpt-4o-mini $0.15/。n8n 。WordPress 。。

SEO+GEOFAQ GEO ，

（）

， tools hover-card

OpenAI、ChatGPT、Claude、n8n、Hermes Agent、DeepSeek

Reference video/material

• n8n AI Agent Workflow
• WeChat MCP

Internal link guidance

• Someone has successfully practiced it: I used n8n + OpenAI to build AI content automation website: a complete review of monthly income $4,500
• Real case: Indie Developer: n8n + OpenClaw Automation Workflow Earning $5,000/mo
• Deep Learning: AI Agent-Driven Content Automation: n8n MCP Building Guide from Scratch