Building a GitHub Pages Tech Blog with AI (2) - Complete Automation of SEO-Optimized Tech Posting with MCP

Building a GitHub Pages Tech Blog with AI (2) - Complete Automation of SEO-Optimized Tech Posting with MCP

Hero Image

🎯 Key Summary

Existing Problem: Separate handling of content writing, SEO optimization, and image generation when writing tech posts MCP Solution: Just provide a post idea and automatically generate complete markdown file with SEO optimization

# What MCP generates with single command
├── 2025-06-09-react-hooks-optimization.md  # Complete post
├── /assets/images/posts/react-hooks/       # Optimized images
└── SEO metadata                             # Automatically optimized

🚀 Post Automation Workflow

Traditional vs MCP Approach

Traditional Manual Process (2-3 hours):

  1. Topic research and structure planning
  2. Markdown file creation and metadata writing
  3. Content writing and code example preparation
  4. Image generation or search
  5. SEO optimization and tag setup

MCP Automation Process (10 minutes):

  1. Present idea
  2. Complete post file generation
  3. Review and fine-tuning
graph LR
    A[Idea] --> B[MCP Conversation]
    B --> C[Complete Post]
    C --> D[SEO Optimization]
    C --> E[Image Generation]
    C --> F[Metadata]
    
    G[Traditional Method] --> H[Document Reading]
    H --> I[Tutorial]
    I --> J[Error Resolution]
    J --> K[Customization]
    
    style A fill:#e8f5e8
    style C fill:#e1f5fe
    style D fill:#fff3e0
    style E fill:#fce4ec
    style F fill:#f3e5f5

🛠️ Practical MCP Post Generation

Step 1: Smart Prompt Design

Actual prompt used:
"Write a tech post about React Hooks performance optimization.

Post requirements:
- Target: Intermediate React developers
- Length: Around 2000 characters
- Include practical code examples
- useMemo, useCallback optimization tips
- Performance measurement methods

SEO optimization:
- Search-friendly title
- Optimized meta description
- Appropriate categories/tags
- Image alt text

Generate file directly in _posts folder,
and create necessary images as well."

Step 2: MCP’s Automatic Generation Process

Tasks performed by Claude MCP:

1. SEO-Optimized Metadata Generation:

---
title: "React Hooks Performance Optimization: Complete Guide to useMemo and useCallback"
excerpt: "Practical useMemo, useCallback usage and measurement tools to maximize React app performance"
categories: [React, Performance]
tags: [React, Hooks, useMemo, useCallback, Performance Optimization]
---

2. Structured Content Auto-Generation:

  • Problem definition and solution presentation
  • Executable code examples
  • Performance comparison and measurement methods
  • Practical application guidelines

3. Related Image Auto-Generation:

  • Hero image (React performance optimization concept)
  • Concept explanation diagrams
  • Before/After performance comparison charts

Step 3: Advanced Automation Features

Smart Category Classification:

// MCP automatically analyzes and applies
Topic: "React Hooks Performance Optimization"
 Primary Category: "React"
 Secondary Category: "Performance"
 Tags: ["React", "Hooks", "useMemo", "useCallback", "Performance Optimization"]

SEO Title Optimization:

Original idea: "React Hooks Optimization"
→ MCP optimization result: "React Hooks Performance Optimization: Complete Guide to useMemo and useCallback"

Optimization elements:
✅ Search keywords included
✅ Under 50 characters
✅ Action-oriented expression
✅ Specific technology names specified

💡 Core Advantages of MCP Post Automation

1. Consistent Quality Assurance

  • Standardized post structure
  • Automatic application of SEO best practices
  • Code example quality assurance
  • Image consistency maintenance

2. Maximum Time Efficiency

Manual writing time: 3 hours
MCP automation: 10 minutes + review 10 minutes = 20 minutes
Time saved: 87% ⬆️

3. Automatic SEO Performance Optimization

  • Automatic meta tag generation
  • Structured data application
  • Image alt text optimization
  • Automatic internal link suggestions

📊 Actual Generated Post Quality Analysis

Characteristics of MCP-Generated Posts

Content Structure:

  • ✅ Clear problem definition
  • ✅ Step-by-step solution methods
  • ✅ Executable code
  • ✅ Practical application guide

SEO Optimization:

  • ✅ Keyword density optimization
  • ✅ Systematic heading structure
  • ✅ Meta description optimization
  • ✅ Image SEO application

User Experience:

  • ✅ Scannable structure
  • ✅ Practical examples
  • ✅ Visual element balance
  • ✅ Clear action items

🎯 Advanced MCP Posting Tips

Template System Setup

Prompt template:
"Write a tech post about [topic].

Context:
- Target audience: [Beginner/Intermediate/Advanced] [technology] developers
- Post purpose: [Learning/Problem solving/Trend introduction]
- Core keywords: [keyword1, keyword2, keyword3]

Content requirements:
- Length: [1500-2500] characters
- Practice code: [Include/Exclude]
- Performance optimization: [Important/Normal]

Auto-generation requests:
- Generate file in _posts folder
- SEO-optimized metadata
- 2 related images
- Appropriate categories/tags"

Series Post Automation

Series connection prompt:
"Write a follow-up to the previously generated '[Previous Post Title]'.
Create a structure that naturally connects to the previous content."

🎉 Next Step: Comment System Integration

Now that we’ve completed post automation with MCP, next we’ll cover how to set up Giscus comment system with MCP.

Preview content:

  • Automatic GitHub Issues setup
  • Automatic Giscus configuration file generation
  • Comment template customization
  • Moderation automation

Conclusion

Post automation using MCP goes beyond simple time saving to enable building a consistent high-quality content production system. An era has opened where anyone with ideas can run professional tech blogs.


📚 Complete Series List:

  1. Building a GitHub Pages Tech Blog with AI (1) - Creating Jekyll Blog Locally with Claude Desktop MCP
  2. Building a GitHub Pages Tech Blog with AI (2) - Complete Automation of SEO-Optimized Tech Posting with MCP ← Current post
  3. Building a GitHub Pages Tech Blog with AI (3) - Setting up Giscus Comment System in 5 Minutes with MCP
  4. Building a GitHub Pages Tech Blog with AI (4) - Perfect Implementation of Dark/Light Mode with MCP
  5. Building a GitHub Pages Tech Blog with AI (5) - Completing Jekyll Multilingual Blog with MCP

Previous in Series: Building a GitHub Pages Tech Blog with AI (1) - Creating Jekyll Blog Locally with Claude Desktop MCP

Next in Series: Building a GitHub Pages Tech Blog with AI (3) - Setting up Giscus Comment System in 5 Minutes with MCP