Developers struggle to evaluate and adopt new AI integration frameworks without clear production validation

Developers are uncertain whether to invest time in MCP (Model Context Protocol) because there's no visibility into real-world production usage, success metrics, or practical advantages over existing integration methods. This creates decision paralysis—they can't confidently commit resources to learning and implementing a new framework when they don't know if it's actually solving problems for others or if it's just hype.