ended5월 11일· 1 sources
The Hidden Token Tax: How MCP Tool Schemas Drain Your AI's Context
MCP 서버의 보이지 않는 습격, 토큰 5만 개를 집어삼키는 '도구 정의'의 함정
Why it matters
Connecting multiple MCP servers can silently consume up to 70% of your LLM's context window because every tool definition is reloaded on every turn. This overhead not only inflates costs significantly but also causes a 'quality cliff' where the model's reasoning degrades due to excessive technical clutter.
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MCPToken UsageTool DefinitionsContext WindowClaude Code