ended5월 4일· 1 sources
The Productivity Trap: Why Overloading MCP Servers Hobbles Your AI
다다익선이 아니다? MCP 서버 과부하가 AI를 멍청하게 만드는 이유
Why it matters
Connecting too many MCP servers consumes up to 50% of an AI's context window with tool definitions alone, leading to slower and less accurate responses. This highlights 'context bloat' as a critical barrier to agent efficiency, suggesting that a minimalist toolset is essential for optimal performance.
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MCPModel Context ProtocolContext WindowAI AgentsTool Sprawl