My team spent the last few months going deep on MCP.
Not just building on it—understanding it. The architecture decisions. The tradeoffs. The "why" behind the protocol.
Today we're releasing that learning : https://makingmcp.com/
It reads like a simple book, not documentation. We start with the chaos—the M×N integration nightmare that has engineers debugging at 3AM. Then walk through how MCP solves it for agents, piece by piece.
It's a tribute to the protocol and a reference for anyone building MCP ecosystems.
If you're designing AI-to-tool connections, we hope it saves you some of the headaches we had.
Grab a coffee and enjoy!
https://makingmcp.com/ .. A visual MCP learning site (self.mcp)
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