MCP at Scale refers to the implementation and management of the Model Context Protocol in large-scale environments, ensuring performance, reliability, and security for extensive AI applications.
View All TagsThe "Hello World" phase of the Model Context Protocol is over.
As enterprises move from experimental chatbots to production-grade agentic systems, they are hitting the invisible walls of scale: token bloat, latency, governance, and discovery. What works for ten tools fails catastrophically at ten thousand.
Your MCP just became a memory hog. And it’s quietly burning your budget.
If your Model Context Protocol (MCP) catalog is growing into the hundreds—or thousands—of tools, you’re already facing the next invisible scalability wall: token bloat.
And it’s not a theory anymore.
