The Model Context Protocol (MCP) completely changed how we connect large language models to real-world data and tools. However, early versions of the protocol had a massive bottleneck for enterprise developers: they relied heavily on stateful, long-lived sessions. If you wanted to scale out your AI tools to handle thousands of concurrent agent workflows, you had to deal with sticky sessions, complex load balancing, and heavy memory overhead.The newest updates to the MCP specification solve this problem by introducing a completely stateless HTTP foundation. By removing the traditional initialization handshake and session IDs, MCP servers can now function as lightweight, independent microservices.