
Great engineering teams build technically perfect MCPs that nobody uses. The difference between technical completeness and actual adoption comes down to one thing: thinking jobs-to-be-done over capabilities.

Cursor's latest MCP implementation introduces four features that fundamentally change how AI coding assistants access context: Prompts, Resources, Elicitation, and Dynamic Tools. Here's what they mean for your development workflow.

A CEO calls MCP 'just a nice-to-have.' He's not wrong—yet. Here's why MCP feels theoretical for most enterprises, and why the few who've solved implementation are seeing massive competitive gains.

Official MCP servers promise easy AI integration, but collapse under real enterprise needs. Here's why you'll likely need to build your own—and what that actually takes.
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