The article critiques the overwhelming theoretical discourse surrounding the Model Context Protocol (MCP) in the AI community. The author expresses frustration over the lack of practical examples, particularly raw data like JSON packets, which are essential for truly grasping the protocol. Despite the plethora of theoretical resources, the author longs for concrete demonstrations, mentioning that learning without such data is ineffective. The article humorously discusses the potential future of MCP, suggesting that it may one day be viewed as a significant chapter in tech history.
Trying to learn a protocol without wire dumps is like trying to learn fencing from a PowerPoint. Give me the electrons or give me death.
MCP is very, very new. Bleeding edge. Possibly still bleeding. Perhaps one day, entire books will be written about its internal politics.
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