MCP context bloat is a solved problem since at least February. Both OpenAI and Anthropic support Client-side MCP tool search, which makes MCP context loading as efficient as the Skills one (progressive discovery).
Code mode is great but not needed anymore in 95% of use-cases.
Is it also a solved problem for smaller models, as the article mentioned?
I can turn off auto invocation of a skill. It uses zero tokens when in this mode. I can still invoke it by calling it by name. How can I do that with MCP servers?