How to Build a Personal Financial Assistant With MCP, Python, and Deterministic Metrics
SMRTR summary
This guide demonstrates building a financial assistant using MCP (Model Context Protocol) that separates data fetching from narrative generation. The system fetches real market data through EODHD's MCP server, computes metrics in Python, then uses an LLM only to narrate computed facts, ensuring reliable, traceable outputs suitable for production use.
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