Local models "seek advice" via MCP

Delegation is the new fine-tuning — the goal isn't to make local models smarter, but to make them smart enough to know when they are outclassed. MCP acts as a universal standard for local agents to trigger external assistance, allowing hybrid architectures where developers keep sensitive codebases local while selectively sharing context with high-reasoning APIs for architectural advice. Document-focused servers like Context7 provide necessary grounding for models to identify knowledge gaps before hallucination, though recent security disclosures emphasize the critical need for sandboxed execution environments in these local-first workflows.