The Silent Context Crisis: Why MCP Agents Hemorrhage Tokens

AI agents using MCP lose up to 40% of their context window to token consumption before processing a single user message. Tool definitions and unnecessary response data are the primary culprits, but optimization patterns can achieve up to 98% token reduction. For developers building with Claude Code and similar platforms, understanding MCP's hidden context costs is critical for both cost efficiency and real-world performance.