Automating WordPress SEO Optimisation with MCP and Claude Code

A Case Study in AI-Powered Site Management

This case study demonstrates how AI automation via the Model Context Protocol and Claude Code transformed a labour-intensive WordPress SEO optimisation project into a streamlined, chat-based workflow. What would typically require hours of manual WordPress administration was completed in two sessions without accessing the admin interface, addressing 11 critical errors, optimising 52 pages, and implementing strategic internal linking across 40 posts.

Note – I am not an SEO-bro or marketing guru, but have been running my own websites for years.

Where we started!

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n8n for Educational Content Automation

This page is the multi-agent content pipeline: how n8n can run specialised agents in sequence for educational materials. For the wider map, see n8n for education and training. For source-grounded generation, see RAG in n8n.

Last reviewed: 31 August 2026.

Scalable Workflow Implementation

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