Jan 9, 2025
How to Build the Ultimate MCP Stock Analysis Tool for AI Trading Success
Part 1 walks through standing up a Model Context Protocol server, wiring market data, and adding core technical indicators for AI-powered research.
The series opener where Seth scaffolds the MCP stock analysis server from scratch. He covers the project structure, data sources, and indicator toolkit that give AI agents a reliable foundation for market research.
The tutorial walks through setting up a TypeScript project with the Model Context Protocol SDK, connecting to live market data feeds, and implementing core technical indicators like moving averages, RSI, MACD, and Bollinger Bands. Each tool is registered as an MCP resource so any compatible AI client can query it directly.
Seth explains the architectural decisions behind separating data fetching from calculation logic, making the server easy to extend with new indicators later. The article also covers error handling patterns for unreliable market data APIs and how to structure tool descriptions so LLMs can select the right analysis without hand-holding.
If you're building AI-powered financial tools or want to understand how MCP servers work under the hood, this is the place to start.