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MCP brings structure and standardization to how LLMs interact with tools and resources—but that power comes with cost. We’ve built multiple MCP servers across different use cases, and not all of them should have existed. This session distills hard-earned lessons from real-world implementations: where MCP created long-term leverage, where it introduced unnecessary complexity, and where a direct API call would have shipped faster and cleaner. We’ll share a clear evaluation checklist you can use before starting your next build—so you choose MCP intentionally, not reflexively.
