Do MCP's use more tokens than CLI's? (nmm.ee)

A recent experiment comparing token usage between Model Configurable Protocols (MCPs) and Command Line Interfaces (CLIs) challenged the belief that CLIs are more efficient in token spending for large language model (LLM) integrations. The experiment involved using CodeScene's MCP tool vs. a CLI command for code health analysis, with identical context provided to both approaches. The results revealed minimal differences in token consumption, with the MCP utilizing just five fewer input tokens than the CLI. The per-call overhead was also negligible, with the MCP only requiring two additional tokens. This finding is significant for the AI/ML community as it questions the prevailing notion of CLI superiority and highlights the practicality of MCPs, which can streamline integrations with pre-built, standardized communication protocols. Given that the convenience of MCP tools can reduce the development overhead associated with custom CLI integrations, developers may now reconsider their preferred methods for LLM application design. The experiment ultimately indicates that with advancements in tool deferral mechanisms, the difference in token efficiency is minimal, positioning MCPs as a viable option for LLM-based solutions.