The SuperCognit blog
Product launches, playbooks and lessons from teams turning knowledge into AI products.
The company brain: building an internal MCP for onboarding, SOPs and policies
An internal MCP server turns your SOPs, policies and onboarding material into a private company brain every AI assistant on your team can query — cited answers, per-seat access, no code. Here is how to build one and keep it current.
How to build a company MCP your whole team can use inside Claude
How to build a company MCP server your whole team can use inside Claude: one private, cited knowledge base with OAuth 2.1 sign-in, connected once per teammate and kept current from then on.
How to turn your company documents into an MCP server in 10 minutes
Turn your company documents into an MCP server in about ten minutes: upload files into a cited knowledge base, choose private or public, publish, and connect it in Claude. No code involved.
Withnodes is now SuperCognit: one platform to build, publish and monetize AI agents
Withnodes — the platform at withnodes.com where builders created AI agents and MCP servers — is now SuperCognit. Same team, same technology, a bigger mission: everything you built keeps working, and everything you can build just got larger. Here's what changed, what didn't, and what you can create today.
Your website is already an MCP server (you just haven't published it yet)
Everything an MCP server for your company would serve is already on your website. Publishing it as an MCP server is a two-minute import, not an engineering project — here is what changes when you do.
How to build your first MCP server for your company — no code required
Build your first MCP server for your company without writing code: import your website into a cited knowledge base in about two minutes, upload documents, attach tools, publish. Here is the whole process.
MCP server vs. chatbot: which one does your company actually need?
MCP server vs. chatbot comes down to where your audience is standing: a chatbot meets visitors on your website; an MCP server meets your team and customers inside Claude. How to pick — and why one build can give you both.
MCP server vs. API: what's the difference and when do you need each?
An API is built for developers; an MCP server is built for AI assistants. A practical comparison of MCP server vs. API — what each one does, where they overlap, and when your company needs each.
MCP explained for non-developers: why your company knowledge should be one
MCP — the Model Context Protocol — is the open standard that lets AI assistants read your company's knowledge instead of guessing. A non-developer's guide to what it is and why your knowledge belongs on an MCP server.
What is an MCP server? A plain-English guide for business owners
An MCP server gives AI assistants like Claude direct, permissioned access to your company's knowledge and tools. Here's what that means in plain English — and how a business gets one without writing code.
Illusion.ws joins SuperCognit: the AI illusion generator's next chapter
Illusion.ws — the AI illusion generator behind aesthetic illusion art, hidden-pattern images and optical illusion experiments — has been acquired by SuperCognit. Here's what that means, a practical guide to creating AI illusions today, and what illusion creators can build (and sell) on SuperCognit now.