MCP servers are consuming massive amounts of context window space, with some implementations using over 143,000 tokens out of 200,000 available—leaving agents with minimal space for actual reasoning. Teams face a trilemma: load everything upfront, limit integrations, or build complex dynamic loading systems that add latency.

The industry has converged on three solutions: MCP with compression tricks, code execution approaches like Duet's, and CLI interfaces. Each addresses context bloat differently, with tradeoffs between complexity, reliability, and token efficiency.

CLI agents offer a pragmatic approach using progressive disclosure, loading tool information only when needed. This contrasts sharply with MCP's upfront schema loading that can consume 10,000-50,000+ tokens regardless of actual usage requirements.

The CLI approach demonstrates superior reliability with no remote dependencies and dramatically better token economics. Benchmarks show CLI methods use just 80 tokens for initial guidance versus MCP's 10,000+ tokens for tool definitions, while maintaining functionality and reducing failure rates by avoiding complex remote server calls.