The article discusses seven common failure modes of Model Context Protocol (MCP) in production environments that are not typically covered in tutorials. These issues include challenges related to horizontal scaling, long-running tasks, streaming backpressure, schema drift, context growth, tool permissions, and observability. The key takeaway for content creators is the importance of treating MCP servers as distributed systems and addressing architectural decisions around state management, task execution, security, and monitoring when deploying at scale.
Read the full article at Towards AI - Medium
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Ali NematiWritten by Ali
