Model Context Protocol, the new standard
Why MCP is Zapier for AI, and why you have to learn it now.
What MCP is
Model Context Protocol. An open standard from Anthropic (November 2024). Defines how AI clients communicate with external tools and data.
In short: MCP is USB-C for AI. Instead of every tool building its own integration for every AI model, both sides speak the same protocol. Build once, runs everywhere.
The problem MCP solves
Before: you build an AI app. You want the model to access your company data. You want it to send emails. You want it to read your CRM.
For each capability you had to build a separate integration. Different for OpenAI than for Claude. Switch models, rebuild everything.
With MCP: you build one MCP server for your data. It runs independently of the AI model. Claude, GPT, Cursor, Codex all use it because they all speak MCP.
The three building blocks
MCP server. The thing that offers capabilities. Local or hosted.
MCP client. The thing that uses the capabilities. Claude Desktop, Claude Code CLI, Cursor, Codex.
Tools. The individual functions a server offers. E.g. the "CRM" server has tools: get_customer, list_customers, add_note.
Why you should learn this now
2024 was the year of AI apps (ChatGPT Apps, GPTs, Claude Projects). Every platform had its own way. Not a standard, lock-in.
2025 was when MCP broke through. Anthropic pushed it, OpenAI announced "MCP-compatible", Cursor and Codex adopted it. You're at the start of a wave, not the middle.
Anyone building with MCP today builds portably.
How MCP and memory connect
Memory systems (StudioMeyer Memory, Letta, Mem0) are a use case for MCP. You build a memory MCP server with tools like remember, recall, search.
Then configure Claude Desktop: "Here's the memory server, connect to it." From now on Claude can persistently store everything you discuss and recall it later.
What you'll build in Level 4
- Your own memory instance (with StudioMeyer Memory or alternative).
- Configure Claude Code / Claude Desktop to use the memory server.
- Write your first Learnings, Decisions, Entities.
- Hooks that automatically write to memory.
That's the leap from AI user to AI operator.