MCP: Connect AI to Every Tool You Use
MCP (Model Context Protocol) is an open standard that lets AI models connect to external tools and data sources. Think of it as USB for AI — one protocol that connects any AI to any tool. Our MCP Masterclass teaches you to build custom MCP servers from scratch.
Courses
Start with any course below. The first 3 lessons of every course are free.
MCP & AI Tool Integration
Model Context Protocol deep dive. Architecture, servers, tools, resources, and production integrations.
AI Stack Builder
Full-stack AI development. Supabase, Vercel, Make.com, edge functions, and deployment.
AI Infrastructure & DevOps
Production AI systems. Edge functions, databases, caching, monitoring, and cost optimization at scale.
The Convergence Lab
The capstone. Build your own AI twin — persistent memory, autonomous agents, and human-AI convergence. This is where it all comes together.
Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open standard created by Anthropic that lets AI assistants connect to external data sources and tools. It provides a universal way for AI to read files, query databases, call APIs, and interact with any software.
Why should I learn MCP?
MCP is becoming the standard for AI integrations. Knowing how to build MCP servers means you can connect AI to any tool — CRMs, databases, internal apps — making AI actually useful for real work, not just chat.
Is MCP only for Claude?
No. MCP is an open protocol supported by many AI tools including Claude, Cursor, Windsurf, VS Code with Copilot, and more. Learning MCP means your skills work across the AI ecosystem.
How hard is it to build an MCP server?
A basic MCP server takes 30-60 minutes to build. Our MCP Masterclass takes you from zero to building production-ready servers that connect AI to databases, APIs, and custom business logic.
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