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This guide details building a reliable personal financial assistant using the Model Context Protocol (MCP) and a "Narrator" architectural pattern. By separating deterministic data computation in Python from LLM narration, the system ensures factual accuracy, reduces hallucinations, and provides auditable, data-backed financial insights. It covers MCP client wrappers, budget enforcement, simple request parsing, and precise metric calculation.
In the fast-paced world of finance and trading, raw numerical tables, no matter how comprehensive, often obscure the deeper narrative. As developers, we understand that data's true power emerges when it's transformed
