The context gap
Ask a general AI assistant for help with your finances and you get sensible, generic advice. Ask one that knows your actual net worth, goals, and spending, and you get something specific: "you are 40 dollars a month short of your savings goal — here is where it could come from." The model is the same; the difference is context.
Why this is hard today
Most assistants start every conversation from a blank slate. They have no persistent, structured memory of your life, so you re-explain everything each time — and even then, the context is unstructured prose the model has to re-interpret.
How MCP changes it
The Model Context Protocol lets AI assistants connect to structured data sources in a standard way. A personal-context server exposes your life data — goals, money, health, tasks — as tools an agent can call. The assistant stops guessing and starts working from your real situation.
Giving context safely
The key is control. Good systems use OAuth with per-area scopes you approve, short-lived tokens, revocable access, and explicit confirmation before destructive actions. You decide what an agent can see and do, and you can change your mind anytime.
How OptiAI fits
OptiAI is a personal-context MCP server: it holds your life context and exposes it to ChatGPT and Claude with scoped, revocable permission — so the assistants you already use finally understand your life.