If You Write Content, You Need This

In this video, I'm going to show how to use InfraNodus MCP & SEO skills — https://infranodus.com/skills/seo — in combination with Cursor AI / Claude Code to generate highly relevant content that's optimized for search engines and LLMs. The base layer is using Cursor AI for context as well as the LLM Wiki setup — https://www.youtube.com/watch?v=yYSTsKo8moU — to prime your LLM for the topic. Then you connect the InfraNodus MCP server to get high quality real time search data and to optimize the text's structure. You can get the MCP server here — https://infranodus.com/mcp — along with the SEO skill (link above). Finally you use the InfraNodus VSCode extension in Cursor to visualize the graph and optimize its structure by focusing on the smaller cluster and content gaps — https://infranodus.com/vscode-extension — or let the MCP server do it for you. Timestamps: 0:00 The content creation system 1:43 The tool stack for context engineering 2:57 Getting an overview of your context 3:56 Use content gaps for content ideas 4:14 MCP server to structure content and getting live data 8:00 Real use case building my InfraNodus website 9:23 Using Skills to get live SEO data and humanise content 10:47 Using knowledge graphs to optimise content structure 12:36 Steering your LLM’s reasoning using a knowledge graph 14:32 Summary: context, MCP servers, skills, reasoning graphs This tutorial on our support portal: https://support.noduslabs.com/hc/en-us/articles/27033895167004-How-to-Automate-Content-Creation-with-InfraNodus-MCP-Server-and-Claude-Code-Cursor-AI